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5074: 4663: 5069:{\displaystyle {\begin{aligned}f(c_{1},\ldots ,c_{6})&{}=\Pr(C_{1}=c_{1}{\text{ and }}\dots {\text{ and }}C_{6}=c_{6})\\&{}={\begin{cases}{\displaystyle {1 \over {18}}{1 \over c_{1}!\cdots c_{k}!}},\ &{\text{when }}\sum _{i=1}^{6}c_{i}=2\\0&{\text{otherwise,}}\end{cases}}\\&{}={\begin{cases}{1 \over 18},\ &{\text{when 2 }}c_{k}{\text{ are }}1\\{1 \over 36},\ &{\text{when exactly one }}c_{k}=2\\0,\ &{\text{otherwise.}}\end{cases}}\end{aligned}}} 826: 2414: 8907: 36: 3808: 2163: 8686: 2105: 4326: 7859:. If the receiving entity had previously known the content of a message with certainty before receiving the message, the amount of information of the message received is zero. Only when the advance knowledge of the content of the message by the receiver is less than 100% certain does the message actually convey information. 3572: 4537: 4053: 2124:
of independent events is the sum of the log-likelihoods of each event. Interpreting log-likelihood as "support" or negative surprisal (the degree to which an event supports a given model: a model is supported by an event to the extent that the event is unsurprising, given the model), this states that
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As a quick illustration, the information content associated with an outcome of 4 heads (or any specific outcome) in 4 consecutive tosses of a coin would be 4 shannons (probability 1/16), and the information content associated with getting a result other than the one specified would be ~0.09 shannons
1757: 9389: 4061: 2409:{\displaystyle {\begin{alignedat}{2}\mathrm {H} (X)&=\sum _{x}{-p_{X}{\left(x\right)}\log {p_{X}{\left(x\right)}}}\\&=\sum _{x}{p_{X}{\left(x\right)}\operatorname {I} _{X}(x)}\\&{\overset {\underset {\mathrm {def} }{}}{=}}\ \operatorname {E} {\left},\end{alignedat}}} 8902:{\displaystyle {\begin{aligned}\operatorname {I} (C)&=\operatorname {I} (A)+\operatorname {I} (B)\\f(\operatorname {P} (C))&=f(\operatorname {P} (A))+f(\operatorname {P} (B))\\&=f{\big (}\operatorname {P} (A)\cdot \operatorname {P} (B){\big )}\\\end{aligned}}} 6943: 152:, which is the expected value of the self-information of a random variable, quantifying how surprising the random variable is "on average". This is the average amount of self-information an observer would expect to gain about a random variable when measuring it. 3282: 3455: 8650: 7561: 4342: 3088: 3869: 2936: 5456:
Unsurprisingly, the information content of learning that both dice were rolled as the same particular number is more than the information content of learning that one dice was one number and the other was a different number. Take for examples the events
669: 8493: 6683: 5959: 5272: 6296: 6220: 3803:{\displaystyle {\begin{aligned}p_{X,Y}\!\left(x,y\right)&{}=\Pr(X=x,\,Y=y)=p_{X}\!(x)\,p_{Y}\!(y)\\&{}={\begin{cases}\displaystyle {1 \over 36},\ &x,y\in \cap \mathbb {N} \\0&{\text{otherwise.}}\end{cases}}\end{aligned}}} 138:
can be interpreted as quantifying the level of "surprise" of a particular outcome. As it is such a basic quantity, it also appears in several other settings, such as the length of a message needed to transmit the event given an optimal
9267: 7074: 5873: 7990: 1307: 5327:. These are the only events that are faithfully preserved with identity of which dice rolled which outcome because the outcomes are the same. Without knowledge to distinguish the dice rolling the other numbers, the other 1653: 374: 1377: 6783: 2809: 2100:{\displaystyle {\begin{aligned}\operatorname {I} _{X,Y}(x,y)&=-\log _{2}\left=-\log _{2}\left\\&=-\log _{2}\left-\log _{2}\left\\&=\operatorname {I} _{X}(x)+\operatorname {I} _{Y}(y)\end{aligned}}} 9645:
R. B. Bernstein and R. D. Levine (1972) "Entropy and Chemical Change. I. Characterization of Product (and Reactant) Energy Distributions in Reactive Molecular Collisions: Information and Entropy Deficiency",
1762: 6830: 7828: 7440: 5451: 3156: 3336: 8560: 7451: 7353: 6463: 4321:{\displaystyle {\begin{aligned}\operatorname {I} _{X,Y}{(2,4)}&=-\log _{2}\!{\left}=-\log _{2}\!{\left}-\log _{2}\!{\left}\\&=2\log _{2}\!{6}\\&\approx 5.169925{\text{ Sh}}.\end{aligned}}} 2965: 191:
The detailed derivation is below, but it can be shown that there is a unique function of probability that meets these three axioms, up to a multiplicative scaling factor. Broadly, given a real number
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By definition, information is transferred from an originating entity possessing the information to a receiving entity only when the receiver had not known the information
4532:{\displaystyle C_{k}:=\delta _{k}(X)+\delta _{k}(Y)={\begin{cases}0,&\neg \,(X=k\vee Y=k)\\1,&\quad X=k\,\veebar \,Y=k\\2,&\quad X=k\,\wedge \,Y=k\end{cases}}} 9418: 9223: 7915: 4048:{\displaystyle {\begin{aligned}\operatorname {I} _{X,Y}{(2,4)}&=-\log _{2}\!{\left}=\log _{2}\!{36}=2\log _{2}\!{6}\\&\approx 5.169925{\text{ Sh}},\end{aligned}}} 1752: 2710: 2688: 983: 8942: 8681: 8019: 7922: 1516: 1480: 1229: 782: 707: 5305: 9154: 1527: 742: 215: 9124: 7883:, the amount of information conveyed in that forecast is zero because it is known, in advance of receiving the forecast, that darkness always comes with the night. 6821: 6346: 266: 3466: 1131: 811: 7744: 7160: 7107: 6977: 6516: 1441: 9482: 8555: 8535: 8515: 8398: 8378: 8354: 8334: 8314: 8294: 8274: 8254: 8226: 7639: 7284: 7264: 7241: 7127: 6483: 3567: 3547: 2960: 2658: 2566: 2438: 2155: 1314: 1224: 1151: 1102: 529: 506: 443: 261: 238: 938: 906: 1695: 1675: 2125:
independent events add support: the information that the two events together provide for statistical inference is the sum of their independent information.
9420:, the larger the quantity of self-information associated with the message that the event indeed occurred. If the above logarithm is base 2, the unit of 9130:. Since the probabilities of events are always between 0 and 1 and the information associated with these events must be nonnegative, that requires that 9384:{\displaystyle \operatorname {I} (\omega _{n})=-\log(\operatorname {P} (\omega _{n}))=\log \left({\frac {1}{\operatorname {P} (\omega _{n})}}\right)} 7751: 9690: 7289: 187:
If two independent events are measured separately, the total amount of information is the sum of the self-informations of the individual events.
6703: 2727: 9743: 7376: 5394: 9052:. The only operational difference between logarithms of different bases is that of different scaling constants, so we may assume 2595:" of seeing the outcome (a highly improbable outcome is very surprising). This term (as a log-probability measure) was coined by 166:
The term 'perplexity' has been used in language modelling to quantify the uncertainty inherent in a set of prospective events.
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Sometimes, the entropy itself is called the "self-information" of the random variable, possibly because the entropy satisfies
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are intuitively more "surprising", and yield more information content, than more common values. Thus, self-information is a
8947: 60: 8159: 8114: 2168: 6938:{\displaystyle p_{X}(k)={\begin{cases}{\frac {1}{N}},&k\in \cap \mathbb {Z} \\0,&{\text{otherwise}}.\end{cases}}} 6310: 5966: 5529: 8069: 8024: 140: 6521: 3277:{\displaystyle p_{X}(k)={\begin{cases}{\frac {1}{6}},&k\in \{1,2,3,4,5,6\}\\0,&{\text{otherwise}}\end{cases}}} 9559: 9228: 9162: 1698: 78: 6105: 6059: 5662: 3450:{\displaystyle \operatorname {I} _{X}(4)=-\log _{2}{p_{X}{(4)}}=-\log _{2}{\tfrac {1}{6}}\approx 2.585\;{\text{Sh}}} 9768: 9057: 8645:{\displaystyle \operatorname {P} (C)=\operatorname {P} (A\cap B)=\operatorname {P} (A)\cdot \operatorname {P} (B).} 7556:{\displaystyle p_{X}(k)={\begin{cases}p_{i},&k=s_{i}\in {\mathcal {S}}\\0,&{\text{otherwise}}.\end{cases}}} 6697: 17: 3083:{\displaystyle \operatorname {I} _{X}(T)=-\log _{2}{p_{X}{({\text{T}})}}=-\log _{2}{\tfrac {1}{2}}=1{\text{ Sh}}.} 8912: 2931:{\displaystyle \operatorname {I} _{X}({\text{H}})=-\log _{2}{p_{X}{({\text{H}})}}=-\log _{2}\!{\tfrac {1}{2}}=1,} 1519: 7886:
Accordingly, the amount of self-information contained in a message conveying content informing an occurrence of
664:{\displaystyle \operatorname {I} _{X}(x):=-\log {\left}=\log {\left({\frac {1}{p_{X}{\left(x\right)}}}\right)}.} 5375:
correspond to one die rolling one number and the other die rolling a different number, each having probability
3526: 8488:{\displaystyle \operatorname {I} (C)=\operatorname {I} (A\cap B)=\operatorname {I} (A)+\operatorname {I} (B).} 7648: 2606:
When the event is a random realization (of a variable) the self-information of the variable is defined as the
6678:{\displaystyle \operatorname {I} _{Z}(5)=-\log _{2}{\tfrac {1}{9}}=\log _{2}{9}\approx 3.169925{\text{ Sh}}.} 5721: 5612: 3102: 2509: 7833: 5460: 3522: 2812: 1414: 451: 148: 4604: 4542: 837: 9763: 7568: 7168: 3471: 3287: 3107: 2572: 5954:{\displaystyle \operatorname {I} \left(B_{3,4}\right)=-\log _{2}\!{\tfrac {1}{18}}=4.169925{\text{ Sh}}} 7887: 7642: 7615: 7603: 5267:{\textstyle (X,Y)\in \left\{(k,k)\right\}_{k=1}^{6}=\left\{(1,1),(2,2),(3,3),(4,4),(5,5),(6,6)\right\}} 2665: 1156: 866: 218: 135: 116: 991: 7443: 6824: 3151: 1444: 446: 51: 9423: 7482: 6861: 6291:{\displaystyle \operatorname {I} ({\text{Diff}})=-\log _{2}\!{\tfrac {5}{6}}=0.2630344{\text{ Sh}}.} 5330: 4948: 4803: 4408: 3717: 3187: 9676:(D. Van Nostrand, 24 West 40 Street, New York 18, New York, U.S.A) Tribus, Myron (1961), pp. 64–66 8233: 7840: 7836: 7600: 7367: 7133: 7129: 6215:{\displaystyle \operatorname {I} ({\text{Same}})=-\log _{2}\!{\tfrac {1}{6}}=2.5849625{\text{ Sh}}} 4658: 3818: 2441: 9016: 27:
Basic quantity derived from the probability of a particular event occurring from a random variable
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Intuitively, more information is gained from observing an unexpected event—it is "surprising".
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of which die had which value, we can formalize the approach with so-called counting variables
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The less probable an event is, the more surprising it is and the more information it yields.
9109: 7364: 7244: 6486: 6319: 5868:{\displaystyle \operatorname {I} (A_{2})=-\log _{2}\!{\tfrac {1}{36}}=5.169925{\text{ Sh}}} 2576: 156: 9674:
An Introduction to Energy, Information and States of Matter, with Engineering Applications
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In other words, the log-odds can be interpreted as the level of surprise when the event
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If a particular event has a 100% probability of occurring, then its self-information is
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If a particular event has a 0% probability of occurring, then its self-information is
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An event with probability 100% is perfectly unsurprising and yields no information.
7985:{\displaystyle \operatorname {I} (\omega _{n})=f(\operatorname {P} (\omega _{n}))} 123:. It can be thought of as an alternative way of expressing probability, much like 8208:
of self-information is nonnegative and additive. If a message informing of event
2634: 2134: 1302:{\displaystyle {\text{log-odds}}(x)=\log \left({\frac {p(x)}{p(\lnot x)}}\right)} 1064: 1048:, her friend Bob will gain significantly more information from learning that she 120: 9717: 9489: 9457: 7832:
From these examples, it is possible to calculate the information of any set of
7611: 3813: 2939: 2607: 2417: 2121: 1648:{\displaystyle p_{X,Y}\!\left(x,y\right)=\Pr(X=x,\,Y=y)=p_{X}\!(x)\,p_{Y}\!(y)} 419: 394: 174: 9738: 369:{\displaystyle \mathrm {I} (x):=-\log _{b}{\left}=-\log _{b}{\left(P\right)}.} 9757: 9569: 7863: 7607: 7163: 3333:, as for any other valid roll. The information content of rolling a 4 is thus 2638: 908:, self-informations are represented by extended real numbers in the interval 876:
While standard probabilities are represented by real numbers in the interval
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Thomas M. Cover, Joy A. Thomas; Elements of Information Theory; p. 20; 1991.
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This establishes an implicit relationship between the self-information of a
940:. In particular, we have the following, for any choice of logarithmic base: 6950: 6316:. In the case of independent fair 6-sided dice rolls, the random variable 2617: 2596: 1402: 7862:
For example, quoting a character (the Hippy Dippy Weatherman) of comedian
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is the sum of each event's information content. This property is known as
1372:{\displaystyle {\text{log-odds}}(x)=\mathrm {I} (\lnot x)-\mathrm {I} (x)} 9666: 7706: 7355:
In general, there is no information gained from measuring a known value.
5372: 2661: 985:: its occurrence is "perfectly non-surprising" and yields no information. 241: 112: 6778:{\displaystyle X\sim \mathrm {DU} ;\quad a,b\in \mathbb {Z} ,\ b\geq a.} 2804:{\textstyle p_{X}{({\text{H}})}=p_{X}{({\text{T}})}={\tfrac {1}{2}}=0.5} 825: 9485: 2117: 408: 1226:
not occurring. Then we have the following definition of the log-odds:
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occurring is that of the compound message of both independent events
7645:, we can assume the categorical distribution is supported on the set 3098: 2713: 177:'s definition of self-information was chosen to meet several axioms: 8360:
of the amounts of information of the individual component messages
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This can be expressed as a difference of two Shannon informations:
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Continued dark overnight, with widely scattered light by morning.
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of the probability, or sometimes called an "antitonic" function.
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for self-information above is not universal. Since the notation
9744:"Surprisal" entry in a glossary of molecular information theory 7823:{\displaystyle \operatorname {I} _{X}(x)=-\log _{2}{p_{X}(x)}.} 7596: 7435:{\textstyle {\mathcal {S}}={\bigl \{}s_{i}{\bigr \}}_{i=1}^{N}} 5446:{\textstyle 6\cdot {\tfrac {1}{36}}+15\cdot {\tfrac {1}{18}}=1} 382:
corresponds to the scaling factor above. Different choices of
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so the information gain of a fair coin landing as heads is 1
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occurring. The quantity of information of compound message
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Taking into account these properties, the self-information
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for self-entropy instead, mirroring the use of the capital
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the variable as heads, the associated information gain is
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with probability distribution deterministically given by
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The probability mass or density function (collectively
6049:{\displaystyle {\text{Diff}}={\overline {\text{Same}}}} 2499:{\displaystyle \mathrm {H} (X)=\operatorname {I} (X;X)} 9496:(probability 15/16). See above for detailed examples. 7651: 7379: 7171: 6791: 6629: 6524: 6354: 6263: 6190: 6127: 6108: 6081: 6062: 6021:
be the event that both dice rolled the same value and
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If we receive information about the value of the dice
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independent, identically distributed random variables
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The information content can be expressed in various
7565:For the purposes of information theory, the values 7266:, so the information content of any measurement of 5602:{\displaystyle B_{j,k}=\{c_{j}=1\}\cap \{c_{k}=1\}} 1392: 1385:happen, minus the level of surprise when the event 386:correspond to different units of information: when 9476: 9448: 9412: 9383: 9256: 9217: 9190: 9148: 9118: 9096: 9044: 9001: 8936: 8901: 8675: 8644: 8549: 8529: 8509: 8487: 8392: 8372: 8348: 8328: 8308: 8288: 8268: 8248: 8220: 8193: 8148: 8103: 8058: 8013: 7984: 7909: 7822: 7738: 7697: 7633: 7587: 7555: 7434: 7347: 7278: 7258: 7235: 7215: 7154: 7121: 7101: 7068: 6971: 6937: 6815: 6777: 6677: 6572: 6510: 6477: 6457: 6340: 6290: 6214: 6140: 6094: 6048: 6013: 5953: 5867: 5785: 5710: 5651: 5601: 5518: 5445: 5364: 5299: 5266: 5068: 4649: 4593: 4531: 4320: 4047: 3858: 3802: 3561: 3541: 3513: 3449: 3325: 3276: 3142: 3082: 2954: 2930: 2803: 2704: 2682: 2652: 2560: 2536: 2498: 2432: 2408: 2149: 2099: 1746: 1689: 1669: 1647: 1510: 1474: 1435: 1371: 1301: 1218: 1198: 1145: 1125: 1096: 1080:The Shannon information is closely related to the 1021: 977: 932: 900: 805: 776: 736: 701: 663: 523: 500: 480: 437: 368: 255: 232: 209: 8104:{\displaystyle \operatorname {I} (\omega _{n})=0} 8059:{\displaystyle \operatorname {P} (\omega _{n})=1} 7917:, depends only on the probability of that event. 6573:{\textstyle p_{Z}(5)={\frac {4}{36}}={1 \over 9}} 6261: 6188: 5927: 5841: 4287: 4232: 4187: 4125: 4014: 3992: 3933: 3690: 3669: 3596: 2906: 1917: 1897: 1635: 1614: 1547: 263:, the information content is defined as follows: 9755: 7363:Generalizing all of the above cases, consider a 6109: 6063: 4718: 3625: 1570: 1033:From this, we can get a few general properties: 857:Monotonically decreasing function of probability 309: 9257:{\displaystyle \operatorname {P} (\omega _{n})} 9191:{\displaystyle \operatorname {I} (\omega _{n})} 6945:In general, the values of the DURV need not be 6141:{\textstyle \Pr({\text{Diff}})={\tfrac {5}{6}}} 6095:{\textstyle \Pr({\text{Same}})={\tfrac {1}{6}}} 744:is also often used for the related quantity of 6314:is the convolution of each probability measure 6300: 5711:{\displaystyle A_{2}=\{X=2{\text{ and }}Y=2\}} 146:The Shannon information is closely related to 9586:Fundamentals in Information Theory and Coding 9582: 9533:, Vol., Clarendon Press, Oxford pp 11–15 1979 8890: 8850: 7410: 7392: 6148:. The information contents of the events are 5350: 5337: 3461:Two independent, identically distributed dice 1052:than that she lost on a given day. (See also 9639: 5780: 5744: 5705: 5679: 5596: 5577: 5571: 5552: 5513: 5477: 4588: 4552: 3247: 3211: 2610:of the self-information of the realization. 1029:: its occurrence is "infinitely surprising". 7879:Assuming that one does not reside near the 7358: 1075: 425:Formally, given a discrete random variable 6953:. The information gain of any observation 6056:be the event that the dice differed. Then 3441: 2128: 9660: 7698:{\textstyle =\left\{1,2,\dots ,N\right\}} 6904: 6753: 4512: 4508: 4476: 4472: 4422: 3849: 3771: 3679: 3643: 3481: 1624: 1588: 1429: 79:Learn how and when to remove this message 6580:. Therefore, the information asserted is 397:(symbol Sh), often called a 'bit'; when 9549: 6311:sum of two independent random variables 5786:{\displaystyle B_{3,4}=\{(3,4),(4,3)\}} 5652:{\displaystyle j\neq k,1\leq j,k\leq 6} 2537:{\displaystyle \operatorname {I} (X;X)} 14: 9756: 9728:, Vol. 27, pp 379–423, (Part I), 1948. 9722:A Mathematical Theory of Communication 9610:Han, Te Sun; Kobayashi, Kingo (2002). 8497:Because of the independence of events 7079:Special case: constant random variable 2420:information content of measurement of 871:strictly decreasing monotonic function 9613:Mathematics of Information and Coding 9393:The smaller the probability of event 9002:{\displaystyle f(x\cdot y)=f(x)+f(y)} 6688:General discrete uniform distribution 5519:{\displaystyle A_{k}=\{(X,Y)=(k,k)\}} 4650:{\textstyle \sum _{k=1}^{6}{C_{k}}=2} 1413:and probability theory. Consider two 481:{\displaystyle p_{X}{\left(x\right)}} 111:is a basic quantity derived from the 9545: 9543: 9541: 9539: 7216:{\textstyle p_{X}(k)=\delta _{b}(k)} 4594:{\displaystyle k\in \{1,2,3,4,5,6\}} 3514:{\textstyle X,\,Y\sim \mathrm {DU} } 3326:{\textstyle p_{X}(4)={\frac {1}{6}}} 2440:. The expectation is taken over the 820: 488:, the self-information of measuring 29: 9554:. Hoboken, NJ: Wiley-Interscience. 7871:Weather forecast for tonight: dark. 7588:{\displaystyle s\in {\mathcal {S}}} 6693: 4331:Information from frequency of rolls 3143:{\displaystyle X\sim \mathrm {DU} } 24: 9711: 9352: 9308: 9271: 9232: 9166: 8873: 8855: 8817: 8790: 8759: 8734: 8716: 8694: 8624: 8606: 8582: 8564: 8467: 8449: 8425: 8407: 8163: 8118: 8073: 8028: 7957: 7926: 7756: 7580: 7521: 7382: 7294: 6987: 6717: 6714: 6696:example above, consider a general 6588: 6228: 6155: 5881: 5803: 5341: 4419: 4070: 3878: 3492: 3489: 3341: 3284:The probability of rolling a 4 is 3121: 3118: 2970: 2823: 2587:This measure has also been called 2513: 2475: 2459: 2372: 2359: 2349: 2346: 2343: 2306: 2172: 2072: 2047: 1766: 1356: 1343: 1336: 1283: 1166: 1084:. In particular, given some event 1016: 924: 539: 271: 25: 9780: 9732: 9671:Thermodynamics and Thermostatics: 9616:. American Mathematical Society. 9536: 3101:. The value of a dice roll is a 2628: 1701:. The information content of the 1199:{\displaystyle p(\lnot x)=1-p(x)} 8276:, then the information of event 7705:; the mathematical structure is 6698:discrete uniform random variable 3103:discrete uniform random variable 3092: 2601:Thermostatics and Thermodynamics 1393:Additivity of independent events 1022:{\displaystyle -\log(0)=\infty } 824: 34: 9648:The Journal of Chemical Physics 8356:would be expected to equal the 7720:The information of the outcome 6739: 5365:{\textstyle {\binom {6}{2}}=15} 5078:To verify this, the 6 outcomes 4498: 4462: 3812:The information content of the 2116:The corresponding property for 1520:joint probability mass function 1397:The information content of two 748:, many authors use a lowercase 9739:Examples of surprisal measures 9726:Bell Systems Technical Journal 9683: 9630: 9603: 9576: 9523: 9449:{\displaystyle I(\omega _{n})} 9443: 9430: 9371: 9358: 9330: 9327: 9314: 9305: 9290: 9277: 9251: 9238: 9185: 9172: 9091: 9085: 9070: 9064: 9039: 9033: 8996: 8990: 8981: 8975: 8966: 8954: 8944:having the property such that 8931: 8925: 8915:, the only monotone functions 8885: 8879: 8867: 8861: 8832: 8829: 8823: 8814: 8805: 8802: 8796: 8787: 8774: 8771: 8765: 8756: 8746: 8740: 8728: 8722: 8706: 8700: 8670: 8664: 8636: 8630: 8618: 8612: 8600: 8588: 8576: 8570: 8479: 8473: 8461: 8455: 8443: 8431: 8419: 8413: 8182: 8169: 8137: 8124: 8092: 8079: 8047: 8034: 8008: 8002: 7979: 7976: 7963: 7954: 7945: 7932: 7813: 7807: 7774: 7768: 7658: 7652: 7471: 7465: 7312: 7306: 7210: 7204: 7188: 7182: 7005: 6999: 6897: 6885: 6850: 6844: 6733: 6721: 6606: 6600: 6541: 6535: 6445: 6431: 6415: 6409: 6393: 6387: 6371: 6365: 6348:has probability mass function 6242: 6234: 6169: 6161: 6120: 6112: 6074: 6066: 5822: 5809: 5777: 5765: 5759: 5747: 5510: 5498: 5492: 5480: 5256: 5244: 5238: 5226: 5220: 5208: 5202: 5190: 5184: 5172: 5166: 5154: 5121: 5109: 5097: 5085: 4783: 4721: 4706: 4674: 4447: 4423: 4397: 4391: 4375: 4369: 4255: 4249: 4210: 4204: 4161: 4149: 4101: 4089: 4055:and can also be calculated by 3969: 3957: 3909: 3897: 3853: 3840: 3834: 3822: 3764: 3752: 3697: 3691: 3676: 3670: 3653: 3628: 3508: 3496: 3399: 3393: 3359: 3353: 3307: 3301: 3176: 3170: 3137: 3125: 3030: 3022: 2988: 2982: 2885: 2877: 2843: 2835: 2776: 2768: 2750: 2742: 2531: 2519: 2493: 2481: 2469: 2463: 2390: 2384: 2324: 2318: 2182: 2176: 2090: 2084: 2065: 2059: 2027: 2021: 1980: 1974: 1924: 1918: 1904: 1898: 1855: 1843: 1796: 1784: 1741: 1729: 1723: 1711: 1642: 1636: 1621: 1615: 1598: 1573: 1505: 1499: 1469: 1463: 1366: 1360: 1349: 1340: 1329: 1323: 1289: 1280: 1272: 1266: 1244: 1238: 1193: 1187: 1172: 1163: 1120: 1114: 1010: 1004: 966: 960: 927: 915: 895: 883: 800: 794: 771: 765: 731: 719: 696: 690: 557: 551: 281: 275: 13: 1: 9531:Elementary Information Theory 9516: 9097:{\displaystyle f(x)=K\log(x)} 7850: 5796:The information contents are 3859:{\displaystyle (X,Y)=(2,\,4)} 3525:fair 6-sided dice roll. The 2668:of the coin landing as heads 2575:the corresponding concept is 816: 169: 9045:{\displaystyle \log _{b}(x)} 8913:Cauchy's functional equation 8204:Further, by definition, the 8021:to be determined below. If 7162:and probability measure the 6041: 1415:independent random variables 1044:chance of Alice winning the 7: 9749:Bayesian Theory of Surprise 9552:Quantum Computing Explained 9499: 9413:{\displaystyle \omega _{n}} 9218:{\displaystyle \omega _{n}} 8654:However, applying function 8537:, the probability of event 7910:{\displaystyle \omega _{n}} 6301:Information from sum of die 2623: 2573:continuous random variables 2416:by definition equal to the 1747:{\displaystyle (X,Y)=(x,y)} 1040:For example, if there is a 865:, the measurement of rarer 409:natural unit of information 54:. The specific problem is: 10: 9785: 9691:"A quote by George Carlin" 9550:McMahon, David M. (2008). 7643:Without loss of generality 2705:{\displaystyle {\text{T}}} 2683:{\displaystyle {\text{H}}} 1445:probability mass functions 978:{\displaystyle -\log(1)=0} 8937:{\displaystyle f(\cdot )} 8676:{\displaystyle f(\cdot )} 8014:{\displaystyle f(\cdot )} 7444:probability mass function 6825:probability mass function 3521:each corresponding to an 3152:probability mass function 447:probability mass function 9198:associated with outcome 7368:discrete random variable 7359:Categorical distribution 7134:constant random variable 6785:For convenience, define 5274:correspond to the event 4659:multinomial distribution 4657:and the counts have the 2591:, as it represents the " 2582: 1511:{\displaystyle p_{Y}(y)} 1475:{\displaystyle p_{X}(x)} 1076:Relationship to log-odds 777:{\displaystyle h_{X}(x)} 702:{\displaystyle I_{X}(x)} 673:The use of the notation 143:of the random variable. 9769:Entropy and information 9484:, the unit will be the 5300:{\displaystyle C_{k}=2} 2137:of the random variable 2129:Relationship to entropy 411:(symbol nat); and when 163:), as explained below. 9583:Borda, Monica (2011). 9478: 9450: 9414: 9385: 9258: 9219: 9192: 9150: 9149:{\displaystyle K<0} 9120: 9098: 9046: 9003: 8938: 8903: 8677: 8646: 8551: 8531: 8511: 8489: 8394: 8374: 8350: 8330: 8310: 8290: 8270: 8250: 8222: 8195: 8150: 8105: 8060: 8015: 7986: 7911: 7877: 7824: 7740: 7699: 7635: 7589: 7557: 7436: 7349: 7280: 7260: 7237: 7217: 7156: 7123: 7103: 7070: 6973: 6939: 6817: 6779: 6679: 6574: 6512: 6479: 6459: 6342: 6292: 6216: 6142: 6096: 6050: 6015: 5998: 5955: 5869: 5787: 5712: 5653: 5603: 5520: 5447: 5366: 5301: 5268: 5070: 5016:when exactly one  4893: 4651: 4628: 4595: 4533: 4322: 4049: 3860: 3804: 3563: 3543: 3515: 3451: 3327: 3278: 3144: 3084: 2956: 2932: 2805: 2706: 2684: 2654: 2562: 2538: 2500: 2434: 2410: 2151: 2113:below for an example. 2101: 1748: 1691: 1671: 1649: 1512: 1476: 1437: 1373: 1303: 1220: 1206:is the probability of 1200: 1147: 1133:is the probability of 1127: 1098: 1023: 979: 934: 902: 807: 778: 738: 737:{\displaystyle I(X;Y)} 703: 665: 525: 502: 482: 439: 370: 257: 234: 211: 210:{\displaystyle b>1} 9506:Kolmogorov complexity 9479: 9451: 9415: 9386: 9259: 9220: 9193: 9151: 9121: 9119:{\displaystyle \log } 9099: 9047: 9004: 8939: 8904: 8678: 8647: 8552: 8532: 8512: 8490: 8395: 8375: 8351: 8331: 8311: 8291: 8271: 8251: 8223: 8196: 8151: 8106: 8061: 8016: 7987: 7912: 7868: 7825: 7741: 7700: 7636: 7590: 7558: 7437: 7350: 7281: 7261: 7238: 7218: 7157: 7124: 7104: 7071: 6974: 6940: 6818: 6816:{\textstyle N:=b-a+1} 6780: 6694:§ Fair dice roll 6680: 6575: 6513: 6480: 6460: 6343: 6341:{\displaystyle Z=X+Y} 6293: 6217: 6143: 6097: 6051: 6016: 5978: 5956: 5870: 5788: 5713: 5654: 5604: 5521: 5448: 5367: 5302: 5269: 5071: 4873: 4652: 4608: 4596: 4534: 4323: 4050: 3861: 3805: 3564: 3544: 3516: 3452: 3328: 3279: 3145: 3085: 2957: 2933: 2806: 2707: 2685: 2655: 2563: 2539: 2501: 2435: 2411: 2152: 2102: 1749: 1692: 1672: 1650: 1513: 1477: 1438: 1374: 1304: 1221: 1201: 1148: 1128: 1099: 1024: 980: 935: 903: 808: 779: 739: 704: 666: 526: 503: 483: 440: 371: 258: 235: 212: 9468: 9424: 9397: 9268: 9229: 9202: 9163: 9134: 9110: 9058: 9017: 8948: 8919: 8687: 8658: 8561: 8541: 8521: 8501: 8404: 8384: 8364: 8340: 8320: 8300: 8280: 8260: 8240: 8212: 8160: 8115: 8070: 8025: 7996: 7923: 7894: 7752: 7724: 7649: 7625: 7569: 7452: 7377: 7290: 7270: 7250: 7227: 7169: 7140: 7113: 7087: 6983: 6957: 6831: 6789: 6704: 6584: 6522: 6496: 6487:discrete convolution 6469: 6352: 6320: 6225: 6152: 6106: 6060: 6025: 5967: 5878: 5800: 5722: 5663: 5613: 5530: 5461: 5395: 5331: 5278: 5082: 4664: 4605: 4543: 4343: 4062: 4057:additivity of events 3870: 3819: 3573: 3553: 3533: 3472: 3465:Suppose we have two 3337: 3288: 3157: 3108: 2966: 2946: 2819: 2728: 2694: 2672: 2644: 2577:differential entropy 2552: 2510: 2455: 2424: 2164: 2141: 1758: 1708: 1681: 1661: 1528: 1486: 1450: 1420: 1405:in mathematics, and 1315: 1230: 1210: 1157: 1153:occurring, and that 1137: 1126:{\displaystyle p(x)} 1108: 1088: 992: 948: 912: 880: 806:{\displaystyle H(X)} 788: 752: 713: 677: 535: 515: 492: 452: 429: 267: 247: 224: 195: 157:units of information 61:improve this article 56:unclear terminology. 50:to meet Knowledge's 7739:{\displaystyle X=x} 7620:probability measure 7431: 7155:{\displaystyle X=b} 7102:{\displaystyle b=a} 6972:{\displaystyle X=k} 6511:{\displaystyle Z=5} 6307:probability measure 5145: 2718:obverse and reverse 2639:tossing a fair coin 2618:proper scoring rule 2616:is an example of a 1055:Lottery mathematics 136:Shannon information 109:Shannon information 97:information content 9764:Information theory 9511:Surprisal analysis 9474: 9446: 9410: 9381: 9254: 9215: 9188: 9146: 9116: 9094: 9042: 8999: 8934: 8911:Thanks to work on 8899: 8897: 8673: 8642: 8547: 8527: 8507: 8485: 8390: 8370: 8346: 8326: 8306: 8286: 8266: 8246: 8218: 8191: 8146: 8101: 8056: 8011: 7992:for some function 7982: 7907: 7820: 7736: 7715:information theory 7711:probability theory 7695: 7631: 7601:mutually exclusive 7599:; they can be any 7595:do not have to be 7585: 7553: 7548: 7432: 7407: 7345: 7276: 7256: 7233: 7223:. The only value 7213: 7152: 7119: 7099: 7066: 6969: 6935: 6930: 6813: 6775: 6675: 6638: 6570: 6508: 6475: 6455: 6338: 6288: 6272: 6212: 6199: 6138: 6136: 6092: 6090: 6046: 6011: 5951: 5938: 5865: 5852: 5783: 5708: 5649: 5599: 5516: 5443: 5435: 5414: 5362: 5297: 5264: 5103: 5066: 5064: 5057: 4926: 4858: 4647: 4591: 4529: 4524: 4318: 4316: 4045: 4043: 3856: 3800: 3798: 3791: 3737: 3559: 3539: 3527:joint distribution 3511: 3447: 3433: 3323: 3274: 3269: 3140: 3099:fair six-sided die 3097:Suppose we have a 3080: 3064: 2952: 2928: 2917: 2801: 2793: 2702: 2680: 2650: 2558: 2546:mutual information 2534: 2496: 2430: 2406: 2404: 2353: 2280: 2201: 2147: 2097: 2095: 1744: 1687: 1667: 1645: 1518:respectively. The 1508: 1472: 1436:{\textstyle X,\,Y} 1433: 1399:independent events 1369: 1299: 1216: 1196: 1143: 1123: 1094: 1019: 975: 930: 898: 836:. You can help by 803: 774: 746:mutual information 734: 699: 661: 521: 498: 478: 435: 418:, the unit is the 407:, the unit is the 393:, the unit is the 366: 253: 230: 207: 93:information theory 9695:www.goodreads.com 9623:978-0-8218-4256-0 9596:978-3-642-20346-6 9477:{\displaystyle e} 9462:natural logarithm 9375: 9225:with probability 9128:natural logarithm 8550:{\displaystyle C} 8530:{\displaystyle B} 8510:{\displaystyle A} 8393:{\displaystyle B} 8373:{\displaystyle A} 8349:{\displaystyle C} 8329:{\displaystyle B} 8309:{\displaystyle A} 8289:{\displaystyle C} 8269:{\displaystyle B} 8249:{\displaystyle A} 8221:{\displaystyle C} 7634:{\displaystyle p} 7541: 7279:{\displaystyle X} 7259:{\displaystyle b} 7245:deterministically 7236:{\displaystyle X} 7122:{\displaystyle X} 7061: 7035: 6923: 6872: 6762: 6692:Generalizing the 6670: 6637: 6568: 6555: 6478:{\displaystyle *} 6453: 6283: 6271: 6240: 6210: 6198: 6167: 6135: 6118: 6089: 6072: 6044: 6040: 6031: 5973: 5949: 5937: 5863: 5851: 5694: 5434: 5413: 5348: 5309:total probability 5053: 5047: 5017: 5011: 5004: 4987: 4972: 4966: 4959: 4922: 4871: 4865: 4856: 4818: 4758: 4750: 4337:without knowledge 4309: 4036: 3787: 3736: 3729: 3562:{\displaystyle Y} 3542:{\displaystyle X} 3445: 3432: 3321: 3265: 3198: 3075: 3063: 3028: 2955:{\displaystyle T} 2916: 2883: 2841: 2792: 2774: 2748: 2700: 2678: 2653:{\displaystyle X} 2599:in his 1961 book 2561:{\displaystyle X} 2433:{\displaystyle X} 2358: 2354: 2341: 2340: 2271: 2192: 2150:{\displaystyle X} 1409:in particular in 1321: 1293: 1236: 1219:{\displaystyle x} 1146:{\displaystyle x} 1097:{\displaystyle x} 863:probability space 854: 853: 813:for the entropy. 651: 524:{\displaystyle x} 501:{\displaystyle X} 438:{\displaystyle X} 256:{\displaystyle P} 233:{\displaystyle x} 119:occurring from a 89: 88: 81: 52:quality standards 43:This article may 16:(Redirected from 9776: 9705: 9704: 9702: 9701: 9687: 9681: 9664: 9658: 9643: 9637: 9634: 9628: 9627: 9607: 9601: 9600: 9580: 9574: 9573: 9547: 9534: 9527: 9483: 9481: 9480: 9475: 9455: 9453: 9452: 9447: 9442: 9441: 9419: 9417: 9416: 9411: 9409: 9408: 9390: 9388: 9387: 9382: 9380: 9376: 9374: 9370: 9369: 9347: 9326: 9325: 9289: 9288: 9263: 9261: 9260: 9255: 9250: 9249: 9224: 9222: 9221: 9216: 9214: 9213: 9197: 9195: 9194: 9189: 9184: 9183: 9155: 9153: 9152: 9147: 9125: 9123: 9122: 9117: 9103: 9101: 9100: 9095: 9051: 9049: 9048: 9043: 9029: 9028: 9008: 9006: 9005: 9000: 8943: 8941: 8940: 8935: 8908: 8906: 8905: 8900: 8898: 8894: 8893: 8854: 8853: 8838: 8682: 8680: 8679: 8674: 8651: 8649: 8648: 8643: 8556: 8554: 8553: 8548: 8536: 8534: 8533: 8528: 8516: 8514: 8513: 8508: 8494: 8492: 8491: 8486: 8399: 8397: 8396: 8391: 8379: 8377: 8376: 8371: 8355: 8353: 8352: 8347: 8335: 8333: 8332: 8327: 8315: 8313: 8312: 8307: 8295: 8293: 8292: 8287: 8275: 8273: 8272: 8267: 8255: 8253: 8252: 8247: 8227: 8225: 8224: 8219: 8200: 8198: 8197: 8192: 8181: 8180: 8155: 8153: 8152: 8147: 8136: 8135: 8110: 8108: 8107: 8102: 8091: 8090: 8065: 8063: 8062: 8057: 8046: 8045: 8020: 8018: 8017: 8012: 7991: 7989: 7988: 7983: 7975: 7974: 7944: 7943: 7916: 7914: 7913: 7908: 7906: 7905: 7829: 7827: 7826: 7821: 7816: 7806: 7805: 7792: 7791: 7764: 7763: 7745: 7743: 7742: 7737: 7704: 7702: 7701: 7696: 7694: 7690: 7640: 7638: 7637: 7632: 7594: 7592: 7591: 7586: 7584: 7583: 7562: 7560: 7559: 7554: 7552: 7551: 7542: 7539: 7525: 7524: 7515: 7514: 7494: 7493: 7464: 7463: 7441: 7439: 7438: 7433: 7430: 7425: 7414: 7413: 7406: 7405: 7396: 7395: 7386: 7385: 7354: 7352: 7351: 7346: 7338: 7330: 7329: 7302: 7301: 7285: 7283: 7282: 7277: 7265: 7263: 7262: 7257: 7242: 7240: 7239: 7234: 7222: 7220: 7219: 7214: 7203: 7202: 7181: 7180: 7161: 7159: 7158: 7153: 7128: 7126: 7125: 7120: 7108: 7106: 7105: 7100: 7075: 7073: 7072: 7067: 7062: 7059: 7057: 7049: 7048: 7036: 7028: 7023: 7022: 6995: 6994: 6978: 6976: 6975: 6970: 6944: 6942: 6941: 6936: 6934: 6933: 6924: 6921: 6907: 6873: 6865: 6843: 6842: 6822: 6820: 6819: 6814: 6784: 6782: 6781: 6776: 6760: 6756: 6720: 6684: 6682: 6681: 6676: 6671: 6668: 6660: 6652: 6651: 6639: 6630: 6624: 6623: 6596: 6595: 6579: 6577: 6576: 6571: 6569: 6561: 6556: 6548: 6534: 6533: 6518:has probability 6517: 6515: 6514: 6509: 6484: 6482: 6481: 6476: 6464: 6462: 6461: 6456: 6454: 6449: 6448: 6434: 6422: 6408: 6407: 6386: 6385: 6364: 6363: 6347: 6345: 6344: 6339: 6297: 6295: 6294: 6289: 6284: 6281: 6273: 6264: 6260: 6259: 6241: 6238: 6221: 6219: 6218: 6213: 6211: 6208: 6200: 6191: 6187: 6186: 6168: 6165: 6147: 6145: 6144: 6139: 6137: 6128: 6119: 6116: 6101: 6099: 6098: 6093: 6091: 6082: 6073: 6070: 6055: 6053: 6052: 6047: 6045: 6038: 6037: 6032: 6029: 6020: 6018: 6017: 6012: 6010: 6009: 6008: 5997: 5992: 5974: 5971: 5960: 5958: 5957: 5952: 5950: 5947: 5939: 5930: 5926: 5925: 5910: 5906: 5905: 5874: 5872: 5871: 5866: 5864: 5861: 5853: 5844: 5840: 5839: 5821: 5820: 5792: 5790: 5789: 5784: 5740: 5739: 5717: 5715: 5714: 5709: 5695: 5692: 5675: 5674: 5658: 5656: 5655: 5650: 5608: 5606: 5605: 5600: 5589: 5588: 5564: 5563: 5548: 5547: 5525: 5523: 5522: 5517: 5473: 5472: 5452: 5450: 5449: 5444: 5436: 5427: 5415: 5406: 5390: 5388: 5387: 5384: 5381: 5371: 5369: 5368: 5363: 5355: 5354: 5353: 5340: 5326: 5324: 5323: 5320: 5317: 5306: 5304: 5303: 5298: 5290: 5289: 5273: 5271: 5270: 5265: 5263: 5259: 5144: 5139: 5128: 5124: 5075: 5073: 5072: 5067: 5065: 5061: 5060: 5054: 5051: 5045: 5028: 5027: 5018: 5015: 5009: 5005: 4997: 4988: 4985: 4983: 4982: 4973: 4970: 4964: 4960: 4952: 4939: 4934: 4930: 4929: 4923: 4920: 4903: 4902: 4892: 4887: 4872: 4869: 4863: 4859: 4857: 4855: 4851: 4850: 4835: 4834: 4821: 4819: 4817: 4809: 4794: 4789: 4782: 4781: 4769: 4768: 4759: 4756: 4751: 4748: 4746: 4745: 4733: 4732: 4714: 4705: 4704: 4686: 4685: 4656: 4654: 4653: 4648: 4640: 4639: 4638: 4627: 4622: 4600: 4598: 4597: 4592: 4538: 4536: 4535: 4530: 4528: 4527: 4390: 4389: 4368: 4367: 4355: 4354: 4327: 4325: 4324: 4319: 4317: 4310: 4307: 4296: 4292: 4286: 4285: 4267: 4263: 4262: 4258: 4248: 4247: 4231: 4230: 4218: 4217: 4213: 4203: 4202: 4186: 4185: 4170: 4169: 4165: 4164: 4147: 4146: 4124: 4123: 4104: 4084: 4083: 4054: 4052: 4051: 4046: 4044: 4037: 4034: 4023: 4019: 4013: 4012: 3997: 3991: 3990: 3978: 3977: 3973: 3972: 3955: 3954: 3932: 3931: 3912: 3892: 3891: 3865: 3863: 3862: 3857: 3809: 3807: 3806: 3801: 3799: 3795: 3794: 3788: 3785: 3774: 3734: 3730: 3722: 3708: 3703: 3689: 3688: 3668: 3667: 3621: 3615: 3611: 3595: 3594: 3568: 3566: 3565: 3560: 3548: 3546: 3545: 3540: 3520: 3518: 3517: 3512: 3495: 3457:of information. 3456: 3454: 3453: 3448: 3446: 3443: 3434: 3425: 3419: 3418: 3403: 3402: 3391: 3390: 3377: 3376: 3349: 3348: 3332: 3330: 3329: 3324: 3322: 3314: 3300: 3299: 3283: 3281: 3280: 3275: 3273: 3272: 3266: 3263: 3199: 3191: 3169: 3168: 3149: 3147: 3146: 3141: 3124: 3089: 3087: 3086: 3081: 3076: 3073: 3065: 3056: 3050: 3049: 3034: 3033: 3029: 3026: 3020: 3019: 3006: 3005: 2978: 2977: 2961: 2959: 2958: 2953: 2937: 2935: 2934: 2929: 2918: 2909: 2905: 2904: 2889: 2888: 2884: 2881: 2875: 2874: 2861: 2860: 2842: 2839: 2831: 2830: 2810: 2808: 2807: 2802: 2794: 2785: 2779: 2775: 2772: 2766: 2765: 2753: 2749: 2746: 2740: 2739: 2711: 2709: 2708: 2703: 2701: 2698: 2689: 2687: 2686: 2681: 2679: 2676: 2659: 2657: 2656: 2651: 2614:Self-information 2567: 2565: 2564: 2559: 2543: 2541: 2540: 2535: 2505: 2503: 2502: 2497: 2462: 2439: 2437: 2436: 2431: 2415: 2413: 2412: 2407: 2405: 2398: 2397: 2393: 2380: 2379: 2356: 2355: 2352: 2336: 2331: 2327: 2314: 2313: 2304: 2303: 2291: 2290: 2279: 2264: 2260: 2259: 2258: 2257: 2245: 2244: 2228: 2227: 2215: 2214: 2200: 2175: 2156: 2154: 2153: 2148: 2106: 2104: 2103: 2098: 2096: 2080: 2079: 2055: 2054: 2039: 2035: 2031: 2030: 2019: 2018: 2001: 2000: 1988: 1984: 1983: 1972: 1971: 1954: 1953: 1935: 1931: 1927: 1916: 1915: 1896: 1895: 1878: 1877: 1862: 1858: 1842: 1841: 1818: 1817: 1780: 1779: 1753: 1751: 1750: 1745: 1696: 1694: 1693: 1688: 1676: 1674: 1673: 1668: 1654: 1652: 1651: 1646: 1634: 1633: 1613: 1612: 1566: 1562: 1546: 1545: 1517: 1515: 1514: 1509: 1498: 1497: 1481: 1479: 1478: 1473: 1462: 1461: 1442: 1440: 1439: 1434: 1407:sigma additivity 1378: 1376: 1375: 1370: 1359: 1339: 1322: 1319: 1308: 1306: 1305: 1300: 1298: 1294: 1292: 1275: 1261: 1237: 1234: 1225: 1223: 1222: 1217: 1205: 1203: 1202: 1197: 1152: 1150: 1149: 1144: 1132: 1130: 1129: 1124: 1103: 1101: 1100: 1095: 1042:one-in-a-million 1028: 1026: 1025: 1020: 984: 982: 981: 976: 939: 937: 936: 933:{\displaystyle } 931: 907: 905: 904: 901:{\displaystyle } 899: 849: 846: 828: 821: 812: 810: 809: 804: 783: 781: 780: 775: 764: 763: 743: 741: 740: 735: 708: 706: 705: 700: 689: 688: 670: 668: 667: 662: 657: 656: 652: 650: 649: 648: 636: 635: 622: 606: 605: 601: 600: 599: 587: 586: 547: 546: 530: 528: 527: 522: 507: 505: 504: 499: 487: 485: 484: 479: 477: 476: 464: 463: 444: 442: 441: 436: 417: 406: 392: 375: 373: 372: 367: 362: 361: 346: 345: 330: 329: 325: 324: 323: 299: 298: 274: 262: 260: 259: 254: 239: 237: 236: 231: 216: 214: 213: 208: 115:of a particular 101:self-information 84: 77: 73: 70: 64: 38: 37: 30: 21: 18:Self-information 9784: 9783: 9779: 9778: 9777: 9775: 9774: 9773: 9754: 9753: 9735: 9714: 9712:Further reading 9709: 9708: 9699: 9697: 9689: 9688: 9684: 9665: 9661: 9644: 9640: 9635: 9631: 9624: 9608: 9604: 9597: 9581: 9577: 9562: 9548: 9537: 9528: 9524: 9519: 9502: 9469: 9466: 9465: 9437: 9433: 9425: 9422: 9421: 9404: 9400: 9398: 9395: 9394: 9365: 9361: 9351: 9346: 9342: 9321: 9317: 9284: 9280: 9269: 9266: 9265: 9264:is defined as: 9245: 9241: 9230: 9227: 9226: 9209: 9205: 9203: 9200: 9199: 9179: 9175: 9164: 9161: 9160: 9135: 9132: 9131: 9111: 9108: 9107: 9059: 9056: 9055: 9024: 9020: 9018: 9015: 9014: 8949: 8946: 8945: 8920: 8917: 8916: 8896: 8895: 8889: 8888: 8849: 8848: 8836: 8835: 8777: 8750: 8749: 8709: 8690: 8688: 8685: 8684: 8659: 8656: 8655: 8562: 8559: 8558: 8542: 8539: 8538: 8522: 8519: 8518: 8502: 8499: 8498: 8405: 8402: 8401: 8385: 8382: 8381: 8365: 8362: 8361: 8341: 8338: 8337: 8321: 8318: 8317: 8301: 8298: 8297: 8281: 8278: 8277: 8261: 8258: 8257: 8241: 8238: 8237: 8213: 8210: 8209: 8176: 8172: 8161: 8158: 8157: 8131: 8127: 8116: 8113: 8112: 8086: 8082: 8071: 8068: 8067: 8041: 8037: 8026: 8023: 8022: 7997: 7994: 7993: 7970: 7966: 7939: 7935: 7924: 7921: 7920: 7901: 7897: 7895: 7892: 7891: 7853: 7801: 7797: 7796: 7787: 7783: 7759: 7755: 7753: 7750: 7749: 7725: 7722: 7721: 7668: 7664: 7650: 7647: 7646: 7626: 7623: 7622: 7579: 7578: 7570: 7567: 7566: 7547: 7546: 7538: 7536: 7527: 7526: 7520: 7519: 7510: 7506: 7498: 7489: 7485: 7478: 7477: 7459: 7455: 7453: 7450: 7449: 7426: 7415: 7409: 7408: 7401: 7397: 7391: 7390: 7381: 7380: 7378: 7375: 7374: 7361: 7334: 7325: 7321: 7297: 7293: 7291: 7288: 7287: 7271: 7268: 7267: 7251: 7248: 7247: 7228: 7225: 7224: 7198: 7194: 7176: 7172: 7170: 7167: 7166: 7141: 7138: 7137: 7114: 7111: 7110: 7088: 7085: 7084: 7081: 7058: 7053: 7044: 7040: 7027: 7018: 7014: 6990: 6986: 6984: 6981: 6980: 6958: 6955: 6954: 6929: 6928: 6920: 6918: 6909: 6908: 6903: 6877: 6864: 6857: 6856: 6838: 6834: 6832: 6829: 6828: 6790: 6787: 6786: 6752: 6713: 6705: 6702: 6701: 6690: 6667: 6656: 6647: 6643: 6628: 6619: 6615: 6591: 6587: 6585: 6582: 6581: 6560: 6547: 6529: 6525: 6523: 6520: 6519: 6497: 6494: 6493: 6485:represents the 6470: 6467: 6466: 6444: 6430: 6423: 6421: 6403: 6399: 6381: 6377: 6359: 6355: 6353: 6350: 6349: 6321: 6318: 6317: 6303: 6280: 6262: 6255: 6251: 6237: 6226: 6223: 6222: 6207: 6189: 6182: 6178: 6164: 6153: 6150: 6149: 6126: 6115: 6107: 6104: 6103: 6080: 6069: 6061: 6058: 6057: 6036: 6028: 6026: 6023: 6022: 6004: 6000: 5999: 5993: 5982: 5970: 5968: 5965: 5964: 5946: 5928: 5921: 5917: 5895: 5891: 5887: 5879: 5876: 5875: 5860: 5842: 5835: 5831: 5816: 5812: 5801: 5798: 5797: 5729: 5725: 5723: 5720: 5719: 5693: and  5691: 5670: 5666: 5664: 5661: 5660: 5659:. For example, 5614: 5611: 5610: 5584: 5580: 5559: 5555: 5537: 5533: 5531: 5528: 5527: 5468: 5464: 5462: 5459: 5458: 5453:, as required. 5425: 5404: 5396: 5393: 5392: 5385: 5382: 5379: 5378: 5376: 5349: 5336: 5335: 5334: 5332: 5329: 5328: 5321: 5318: 5315: 5314: 5312: 5285: 5281: 5279: 5276: 5275: 5153: 5149: 5140: 5129: 5108: 5104: 5083: 5080: 5079: 5063: 5062: 5056: 5055: 5050: 5048: 5036: 5035: 5023: 5019: 5014: 5012: 4996: 4993: 4992: 4986: are  4984: 4978: 4974: 4969: 4967: 4951: 4944: 4943: 4938: 4932: 4931: 4925: 4924: 4919: 4917: 4911: 4910: 4898: 4894: 4888: 4877: 4868: 4866: 4846: 4842: 4830: 4826: 4825: 4820: 4813: 4808: 4806: 4799: 4798: 4793: 4787: 4786: 4777: 4773: 4764: 4760: 4757: and  4755: 4749: and  4747: 4741: 4737: 4728: 4724: 4713: 4709: 4700: 4696: 4681: 4677: 4667: 4665: 4662: 4661: 4634: 4630: 4629: 4623: 4612: 4606: 4603: 4602: 4544: 4541: 4540: 4523: 4522: 4496: 4487: 4486: 4460: 4451: 4450: 4417: 4404: 4403: 4385: 4381: 4363: 4359: 4350: 4346: 4344: 4341: 4340: 4333: 4315: 4314: 4306: 4294: 4293: 4288: 4281: 4277: 4265: 4264: 4243: 4239: 4238: 4234: 4233: 4226: 4222: 4198: 4194: 4193: 4189: 4188: 4181: 4177: 4148: 4136: 4132: 4131: 4127: 4126: 4119: 4115: 4105: 4088: 4073: 4069: 4065: 4063: 4060: 4059: 4042: 4041: 4033: 4021: 4020: 4015: 4008: 4004: 3993: 3986: 3982: 3956: 3944: 3940: 3939: 3935: 3934: 3927: 3923: 3913: 3896: 3881: 3877: 3873: 3871: 3868: 3867: 3820: 3817: 3816: 3797: 3796: 3790: 3789: 3784: 3782: 3776: 3775: 3770: 3738: 3721: 3713: 3712: 3707: 3701: 3700: 3684: 3680: 3663: 3659: 3620: 3616: 3601: 3597: 3584: 3580: 3576: 3574: 3571: 3570: 3554: 3551: 3550: 3534: 3531: 3530: 3488: 3473: 3470: 3469: 3463: 3442: 3423: 3414: 3410: 3392: 3386: 3382: 3381: 3372: 3368: 3344: 3340: 3338: 3335: 3334: 3313: 3295: 3291: 3289: 3286: 3285: 3268: 3267: 3262: 3260: 3251: 3250: 3203: 3190: 3183: 3182: 3164: 3160: 3158: 3155: 3154: 3117: 3109: 3106: 3105: 3095: 3072: 3054: 3045: 3041: 3025: 3021: 3015: 3011: 3010: 3001: 2997: 2973: 2969: 2967: 2964: 2963: 2947: 2944: 2943: 2907: 2900: 2896: 2880: 2876: 2870: 2866: 2865: 2856: 2852: 2838: 2826: 2822: 2820: 2817: 2816: 2783: 2771: 2767: 2761: 2757: 2745: 2741: 2735: 2731: 2729: 2726: 2725: 2697: 2695: 2692: 2691: 2675: 2673: 2670: 2669: 2645: 2642: 2641: 2635:Bernoulli trial 2631: 2626: 2585: 2553: 2550: 2549: 2511: 2508: 2507: 2458: 2456: 2453: 2452: 2442:discrete values 2425: 2422: 2421: 2403: 2402: 2375: 2371: 2370: 2366: 2365: 2342: 2335: 2329: 2328: 2309: 2305: 2293: 2292: 2286: 2282: 2281: 2275: 2262: 2261: 2247: 2246: 2240: 2236: 2235: 2217: 2216: 2210: 2206: 2202: 2196: 2185: 2171: 2167: 2165: 2162: 2161: 2142: 2139: 2138: 2135:Shannon entropy 2131: 2094: 2093: 2075: 2071: 2050: 2046: 2037: 2036: 2020: 2014: 2010: 2009: 2005: 1996: 1992: 1973: 1967: 1963: 1962: 1958: 1949: 1945: 1933: 1932: 1911: 1907: 1891: 1887: 1886: 1882: 1873: 1869: 1831: 1827: 1826: 1822: 1813: 1809: 1799: 1769: 1765: 1761: 1759: 1756: 1755: 1709: 1706: 1705: 1682: 1679: 1678: 1662: 1659: 1658: 1629: 1625: 1608: 1604: 1552: 1548: 1535: 1531: 1529: 1526: 1525: 1493: 1489: 1487: 1484: 1483: 1457: 1453: 1451: 1448: 1447: 1421: 1418: 1417: 1395: 1355: 1335: 1318: 1316: 1313: 1312: 1276: 1262: 1260: 1256: 1233: 1231: 1228: 1227: 1211: 1208: 1207: 1158: 1155: 1154: 1138: 1135: 1134: 1109: 1106: 1105: 1104:, suppose that 1089: 1086: 1085: 1078: 1065:random variable 993: 990: 989: 949: 946: 945: 913: 910: 909: 881: 878: 877: 859: 850: 844: 841: 834:needs expansion 819: 789: 786: 785: 759: 755: 753: 750: 749: 714: 711: 710: 684: 680: 678: 675: 674: 638: 637: 631: 627: 626: 621: 617: 616: 589: 588: 582: 578: 577: 573: 572: 542: 538: 536: 533: 532: 516: 513: 512: 493: 490: 489: 466: 465: 459: 455: 453: 450: 449: 430: 427: 426: 422:(symbol Hart). 412: 398: 387: 351: 350: 341: 337: 313: 312: 308: 304: 303: 294: 290: 270: 268: 265: 264: 248: 245: 244: 225: 222: 221: 196: 193: 192: 172: 121:random variable 85: 74: 68: 65: 58: 39: 35: 28: 23: 22: 15: 12: 11: 5: 9782: 9772: 9771: 9766: 9752: 9751: 9746: 9741: 9734: 9733:External links 9731: 9730: 9729: 9713: 9710: 9707: 9706: 9682: 9659: 9638: 9629: 9622: 9602: 9595: 9575: 9560: 9535: 9521: 9520: 9518: 9515: 9514: 9513: 9508: 9501: 9498: 9473: 9445: 9440: 9436: 9432: 9429: 9407: 9403: 9379: 9373: 9368: 9364: 9360: 9357: 9354: 9350: 9345: 9341: 9338: 9335: 9332: 9329: 9324: 9320: 9316: 9313: 9310: 9307: 9304: 9301: 9298: 9295: 9292: 9287: 9283: 9279: 9276: 9273: 9253: 9248: 9244: 9240: 9237: 9234: 9212: 9208: 9187: 9182: 9178: 9174: 9171: 9168: 9145: 9142: 9139: 9115: 9093: 9090: 9087: 9084: 9081: 9078: 9075: 9072: 9069: 9066: 9063: 9041: 9038: 9035: 9032: 9027: 9023: 8998: 8995: 8992: 8989: 8986: 8983: 8980: 8977: 8974: 8971: 8968: 8965: 8962: 8959: 8956: 8953: 8933: 8930: 8927: 8924: 8892: 8887: 8884: 8881: 8878: 8875: 8872: 8869: 8866: 8863: 8860: 8857: 8852: 8847: 8844: 8841: 8839: 8837: 8834: 8831: 8828: 8825: 8822: 8819: 8816: 8813: 8810: 8807: 8804: 8801: 8798: 8795: 8792: 8789: 8786: 8783: 8780: 8778: 8776: 8773: 8770: 8767: 8764: 8761: 8758: 8755: 8752: 8751: 8748: 8745: 8742: 8739: 8736: 8733: 8730: 8727: 8724: 8721: 8718: 8715: 8712: 8710: 8708: 8705: 8702: 8699: 8696: 8693: 8692: 8672: 8669: 8666: 8663: 8641: 8638: 8635: 8632: 8629: 8626: 8623: 8620: 8617: 8614: 8611: 8608: 8605: 8602: 8599: 8596: 8593: 8590: 8587: 8584: 8581: 8578: 8575: 8572: 8569: 8566: 8546: 8526: 8506: 8484: 8481: 8478: 8475: 8472: 8469: 8466: 8463: 8460: 8457: 8454: 8451: 8448: 8445: 8442: 8439: 8436: 8433: 8430: 8427: 8424: 8421: 8418: 8415: 8412: 8409: 8400:respectively: 8389: 8369: 8345: 8325: 8305: 8285: 8265: 8245: 8217: 8190: 8187: 8184: 8179: 8175: 8171: 8168: 8165: 8145: 8142: 8139: 8134: 8130: 8126: 8123: 8120: 8100: 8097: 8094: 8089: 8085: 8081: 8078: 8075: 8055: 8052: 8049: 8044: 8040: 8036: 8033: 8030: 8010: 8007: 8004: 8001: 7981: 7978: 7973: 7969: 7965: 7962: 7959: 7956: 7953: 7950: 7947: 7942: 7938: 7934: 7931: 7928: 7904: 7900: 7852: 7849: 7819: 7815: 7812: 7809: 7804: 7800: 7795: 7790: 7786: 7782: 7779: 7776: 7773: 7770: 7767: 7762: 7758: 7735: 7732: 7729: 7713:and therefore 7693: 7689: 7686: 7683: 7680: 7677: 7674: 7671: 7667: 7663: 7660: 7657: 7654: 7630: 7614:that has been 7612:finite measure 7582: 7577: 7574: 7550: 7545: 7537: 7535: 7532: 7529: 7528: 7523: 7518: 7513: 7509: 7505: 7502: 7499: 7497: 7492: 7488: 7484: 7483: 7481: 7476: 7473: 7470: 7467: 7462: 7458: 7429: 7424: 7421: 7418: 7412: 7404: 7400: 7394: 7389: 7384: 7360: 7357: 7344: 7341: 7337: 7333: 7328: 7324: 7320: 7317: 7314: 7311: 7308: 7305: 7300: 7296: 7275: 7255: 7232: 7212: 7209: 7206: 7201: 7197: 7193: 7190: 7187: 7184: 7179: 7175: 7151: 7148: 7145: 7118: 7098: 7095: 7092: 7080: 7077: 7065: 7056: 7052: 7047: 7043: 7039: 7034: 7031: 7026: 7021: 7017: 7013: 7010: 7007: 7004: 7001: 6998: 6993: 6989: 6968: 6965: 6962: 6932: 6927: 6919: 6917: 6914: 6911: 6910: 6906: 6902: 6899: 6896: 6893: 6890: 6887: 6884: 6881: 6878: 6876: 6871: 6868: 6863: 6862: 6860: 6855: 6852: 6849: 6846: 6841: 6837: 6812: 6809: 6806: 6803: 6800: 6797: 6794: 6774: 6771: 6768: 6765: 6759: 6755: 6751: 6748: 6745: 6742: 6738: 6735: 6732: 6729: 6726: 6723: 6719: 6716: 6712: 6709: 6689: 6686: 6674: 6666: 6663: 6659: 6655: 6650: 6646: 6642: 6636: 6633: 6627: 6622: 6618: 6614: 6611: 6608: 6605: 6602: 6599: 6594: 6590: 6567: 6564: 6559: 6554: 6551: 6546: 6543: 6540: 6537: 6532: 6528: 6507: 6504: 6501: 6474: 6452: 6447: 6443: 6440: 6437: 6433: 6429: 6426: 6420: 6417: 6414: 6411: 6406: 6402: 6398: 6395: 6392: 6389: 6384: 6380: 6376: 6373: 6370: 6367: 6362: 6358: 6337: 6334: 6331: 6328: 6325: 6302: 6299: 6287: 6279: 6276: 6270: 6267: 6258: 6254: 6250: 6247: 6244: 6236: 6233: 6230: 6206: 6203: 6197: 6194: 6185: 6181: 6177: 6174: 6171: 6163: 6160: 6157: 6134: 6131: 6125: 6122: 6114: 6111: 6088: 6085: 6079: 6076: 6068: 6065: 6043: 6035: 6007: 6003: 5996: 5991: 5988: 5985: 5981: 5977: 5945: 5942: 5936: 5933: 5924: 5920: 5916: 5913: 5909: 5904: 5901: 5898: 5894: 5890: 5886: 5883: 5859: 5856: 5850: 5847: 5838: 5834: 5830: 5827: 5824: 5819: 5815: 5811: 5808: 5805: 5782: 5779: 5776: 5773: 5770: 5767: 5764: 5761: 5758: 5755: 5752: 5749: 5746: 5743: 5738: 5735: 5732: 5728: 5707: 5704: 5701: 5698: 5690: 5687: 5684: 5681: 5678: 5673: 5669: 5648: 5645: 5642: 5639: 5636: 5633: 5630: 5627: 5624: 5621: 5618: 5598: 5595: 5592: 5587: 5583: 5579: 5576: 5573: 5570: 5567: 5562: 5558: 5554: 5551: 5546: 5543: 5540: 5536: 5515: 5512: 5509: 5506: 5503: 5500: 5497: 5494: 5491: 5488: 5485: 5482: 5479: 5476: 5471: 5467: 5442: 5439: 5433: 5430: 5424: 5421: 5418: 5412: 5409: 5403: 5400: 5361: 5358: 5352: 5347: 5344: 5339: 5296: 5293: 5288: 5284: 5262: 5258: 5255: 5252: 5249: 5246: 5243: 5240: 5237: 5234: 5231: 5228: 5225: 5222: 5219: 5216: 5213: 5210: 5207: 5204: 5201: 5198: 5195: 5192: 5189: 5186: 5183: 5180: 5177: 5174: 5171: 5168: 5165: 5162: 5159: 5156: 5152: 5148: 5143: 5138: 5135: 5132: 5127: 5123: 5120: 5117: 5114: 5111: 5107: 5102: 5099: 5096: 5093: 5090: 5087: 5059: 5049: 5044: 5041: 5038: 5037: 5034: 5031: 5026: 5022: 5013: 5008: 5003: 5000: 4995: 4994: 4991: 4981: 4977: 4968: 4963: 4958: 4955: 4950: 4949: 4947: 4942: 4937: 4935: 4933: 4928: 4918: 4916: 4913: 4912: 4909: 4906: 4901: 4897: 4891: 4886: 4883: 4880: 4876: 4867: 4862: 4854: 4849: 4845: 4841: 4838: 4833: 4829: 4824: 4816: 4812: 4805: 4804: 4802: 4797: 4792: 4790: 4788: 4785: 4780: 4776: 4772: 4767: 4763: 4754: 4744: 4740: 4736: 4731: 4727: 4723: 4720: 4717: 4712: 4710: 4708: 4703: 4699: 4695: 4692: 4689: 4684: 4680: 4676: 4673: 4670: 4669: 4646: 4643: 4637: 4633: 4626: 4621: 4618: 4615: 4611: 4590: 4587: 4584: 4581: 4578: 4575: 4572: 4569: 4566: 4563: 4560: 4557: 4554: 4551: 4548: 4526: 4521: 4518: 4515: 4511: 4507: 4504: 4501: 4497: 4495: 4492: 4489: 4488: 4485: 4482: 4479: 4475: 4471: 4468: 4465: 4461: 4459: 4456: 4453: 4452: 4449: 4446: 4443: 4440: 4437: 4434: 4431: 4428: 4425: 4421: 4418: 4416: 4413: 4410: 4409: 4407: 4402: 4399: 4396: 4393: 4388: 4384: 4380: 4377: 4374: 4371: 4366: 4362: 4358: 4353: 4349: 4332: 4329: 4313: 4305: 4302: 4299: 4297: 4295: 4291: 4284: 4280: 4276: 4273: 4270: 4268: 4266: 4261: 4257: 4254: 4251: 4246: 4242: 4237: 4229: 4225: 4221: 4216: 4212: 4209: 4206: 4201: 4197: 4192: 4184: 4180: 4176: 4173: 4168: 4163: 4160: 4157: 4154: 4151: 4145: 4142: 4139: 4135: 4130: 4122: 4118: 4114: 4111: 4108: 4106: 4103: 4100: 4097: 4094: 4091: 4087: 4082: 4079: 4076: 4072: 4068: 4067: 4040: 4032: 4029: 4026: 4024: 4022: 4018: 4011: 4007: 4003: 4000: 3996: 3989: 3985: 3981: 3976: 3971: 3968: 3965: 3962: 3959: 3953: 3950: 3947: 3943: 3938: 3930: 3926: 3922: 3919: 3916: 3914: 3911: 3908: 3905: 3902: 3899: 3895: 3890: 3887: 3884: 3880: 3876: 3875: 3855: 3852: 3848: 3845: 3842: 3839: 3836: 3833: 3830: 3827: 3824: 3814:random variate 3793: 3783: 3781: 3778: 3777: 3773: 3769: 3766: 3763: 3760: 3757: 3754: 3751: 3748: 3745: 3742: 3739: 3733: 3728: 3725: 3719: 3718: 3716: 3711: 3706: 3704: 3702: 3699: 3696: 3693: 3687: 3683: 3678: 3675: 3672: 3666: 3662: 3658: 3655: 3652: 3649: 3646: 3642: 3639: 3636: 3633: 3630: 3627: 3624: 3619: 3617: 3614: 3610: 3607: 3604: 3600: 3593: 3590: 3587: 3583: 3579: 3578: 3558: 3538: 3510: 3507: 3504: 3501: 3498: 3494: 3491: 3487: 3484: 3480: 3477: 3462: 3459: 3440: 3437: 3431: 3428: 3422: 3417: 3413: 3409: 3406: 3401: 3398: 3395: 3389: 3385: 3380: 3375: 3371: 3367: 3364: 3361: 3358: 3355: 3352: 3347: 3343: 3320: 3317: 3312: 3309: 3306: 3303: 3298: 3294: 3271: 3261: 3259: 3256: 3253: 3252: 3249: 3246: 3243: 3240: 3237: 3234: 3231: 3228: 3225: 3222: 3219: 3216: 3213: 3210: 3207: 3204: 3202: 3197: 3194: 3189: 3188: 3186: 3181: 3178: 3175: 3172: 3167: 3163: 3139: 3136: 3133: 3130: 3127: 3123: 3120: 3116: 3113: 3094: 3091: 3079: 3071: 3068: 3062: 3059: 3053: 3048: 3044: 3040: 3037: 3032: 3024: 3018: 3014: 3009: 3004: 3000: 2996: 2993: 2990: 2987: 2984: 2981: 2976: 2972: 2951: 2927: 2924: 2921: 2915: 2912: 2903: 2899: 2895: 2892: 2887: 2879: 2873: 2869: 2864: 2859: 2855: 2851: 2848: 2845: 2837: 2834: 2829: 2825: 2800: 2797: 2791: 2788: 2782: 2778: 2770: 2764: 2760: 2756: 2752: 2744: 2738: 2734: 2649: 2630: 2629:Fair coin toss 2627: 2625: 2622: 2608:expected value 2584: 2581: 2557: 2533: 2530: 2527: 2524: 2521: 2518: 2515: 2495: 2492: 2489: 2486: 2483: 2480: 2477: 2474: 2471: 2468: 2465: 2461: 2429: 2401: 2396: 2392: 2389: 2386: 2383: 2378: 2374: 2369: 2364: 2361: 2351: 2348: 2345: 2339: 2334: 2332: 2330: 2326: 2323: 2320: 2317: 2312: 2308: 2302: 2299: 2296: 2289: 2285: 2278: 2274: 2270: 2267: 2265: 2263: 2256: 2253: 2250: 2243: 2239: 2234: 2231: 2226: 2223: 2220: 2213: 2209: 2205: 2199: 2195: 2191: 2188: 2186: 2184: 2181: 2178: 2174: 2170: 2169: 2146: 2130: 2127: 2122:log-likelihood 2092: 2089: 2086: 2083: 2078: 2074: 2070: 2067: 2064: 2061: 2058: 2053: 2049: 2045: 2042: 2040: 2038: 2034: 2029: 2026: 2023: 2017: 2013: 2008: 2004: 1999: 1995: 1991: 1987: 1982: 1979: 1976: 1970: 1966: 1961: 1957: 1952: 1948: 1944: 1941: 1938: 1936: 1934: 1930: 1926: 1923: 1920: 1914: 1910: 1906: 1903: 1900: 1894: 1890: 1885: 1881: 1876: 1872: 1868: 1865: 1861: 1857: 1854: 1851: 1848: 1845: 1840: 1837: 1834: 1830: 1825: 1821: 1816: 1812: 1808: 1805: 1802: 1800: 1798: 1795: 1792: 1789: 1786: 1783: 1778: 1775: 1772: 1768: 1764: 1763: 1743: 1740: 1737: 1734: 1731: 1728: 1725: 1722: 1719: 1716: 1713: 1690:{\textstyle Y} 1686: 1670:{\textstyle X} 1666: 1644: 1641: 1638: 1632: 1628: 1623: 1620: 1617: 1611: 1607: 1603: 1600: 1597: 1594: 1591: 1587: 1584: 1581: 1578: 1575: 1572: 1569: 1565: 1561: 1558: 1555: 1551: 1544: 1541: 1538: 1534: 1507: 1504: 1501: 1496: 1492: 1471: 1468: 1465: 1460: 1456: 1432: 1428: 1425: 1394: 1391: 1368: 1365: 1362: 1358: 1354: 1351: 1348: 1345: 1342: 1338: 1334: 1331: 1328: 1325: 1297: 1291: 1288: 1285: 1282: 1279: 1274: 1271: 1268: 1265: 1259: 1255: 1252: 1249: 1246: 1243: 1240: 1215: 1195: 1192: 1189: 1186: 1183: 1180: 1177: 1174: 1171: 1168: 1165: 1162: 1142: 1122: 1119: 1116: 1113: 1093: 1077: 1074: 1073: 1072: 1061: 1060: 1059: 1031: 1030: 1018: 1015: 1012: 1009: 1006: 1003: 1000: 997: 986: 974: 971: 968: 965: 962: 959: 956: 953: 929: 926: 923: 920: 917: 897: 894: 891: 888: 885: 858: 855: 852: 851: 831: 829: 818: 815: 802: 799: 796: 793: 773: 770: 767: 762: 758: 733: 730: 727: 724: 721: 718: 698: 695: 692: 687: 683: 660: 655: 647: 644: 641: 634: 630: 625: 620: 615: 612: 609: 604: 598: 595: 592: 585: 581: 576: 571: 568: 565: 562: 559: 556: 553: 550: 545: 541: 531:is defined as 520: 497: 475: 472: 469: 462: 458: 434: 365: 360: 357: 354: 349: 344: 340: 336: 333: 328: 322: 319: 316: 311: 307: 302: 297: 293: 289: 286: 283: 280: 277: 273: 252: 229: 206: 203: 200: 189: 188: 185: 182: 175:Claude Shannon 171: 168: 87: 86: 42: 40: 33: 26: 9: 6: 4: 3: 2: 9781: 9770: 9767: 9765: 9762: 9761: 9759: 9750: 9747: 9745: 9742: 9740: 9737: 9736: 9727: 9723: 9719: 9716: 9715: 9696: 9692: 9686: 9679: 9675: 9672: 9668: 9663: 9656: 9652: 9649: 9642: 9633: 9625: 9619: 9615: 9614: 9606: 9598: 9592: 9588: 9587: 9579: 9571: 9567: 9563: 9561:9780470181386 9557: 9553: 9546: 9544: 9542: 9540: 9532: 9529:Jones, D.S., 9526: 9522: 9512: 9509: 9507: 9504: 9503: 9497: 9493: 9491: 9487: 9471: 9463: 9459: 9438: 9434: 9427: 9405: 9401: 9391: 9377: 9366: 9362: 9355: 9348: 9343: 9339: 9336: 9333: 9322: 9318: 9311: 9302: 9299: 9296: 9293: 9285: 9281: 9274: 9246: 9242: 9235: 9210: 9206: 9180: 9176: 9169: 9157: 9143: 9140: 9137: 9129: 9113: 9104: 9088: 9082: 9079: 9076: 9073: 9067: 9061: 9053: 9036: 9030: 9025: 9021: 9012: 8993: 8987: 8984: 8978: 8972: 8969: 8963: 8960: 8957: 8951: 8928: 8922: 8914: 8909: 8882: 8876: 8870: 8864: 8858: 8845: 8842: 8840: 8826: 8820: 8811: 8808: 8799: 8793: 8784: 8781: 8779: 8768: 8762: 8753: 8743: 8737: 8731: 8725: 8719: 8713: 8711: 8703: 8697: 8667: 8661: 8652: 8639: 8633: 8627: 8621: 8615: 8609: 8603: 8597: 8594: 8591: 8585: 8579: 8573: 8567: 8544: 8524: 8504: 8495: 8482: 8476: 8470: 8464: 8458: 8452: 8446: 8440: 8437: 8434: 8428: 8422: 8416: 8410: 8387: 8367: 8359: 8343: 8323: 8303: 8283: 8263: 8243: 8235: 8231: 8215: 8207: 8202: 8188: 8185: 8177: 8173: 8166: 8143: 8140: 8132: 8128: 8121: 8098: 8095: 8087: 8083: 8076: 8053: 8050: 8042: 8038: 8031: 8005: 7999: 7971: 7967: 7960: 7951: 7948: 7940: 7936: 7929: 7918: 7902: 7898: 7889: 7884: 7882: 7881:polar regions 7876: 7875: 7872: 7867: 7865: 7864:George Carlin 7860: 7858: 7848: 7846: 7842: 7841:distributions 7838: 7835: 7830: 7817: 7810: 7802: 7798: 7793: 7788: 7784: 7780: 7777: 7771: 7765: 7760: 7747: 7733: 7730: 7727: 7718: 7716: 7712: 7708: 7691: 7687: 7684: 7681: 7678: 7675: 7672: 7669: 7665: 7661: 7655: 7644: 7628: 7621: 7617: 7613: 7609: 7608:measure space 7605: 7602: 7598: 7575: 7572: 7563: 7543: 7533: 7530: 7516: 7511: 7507: 7503: 7500: 7495: 7490: 7486: 7479: 7474: 7468: 7460: 7456: 7447: 7445: 7427: 7422: 7419: 7416: 7402: 7398: 7387: 7373: 7369: 7366: 7356: 7342: 7339: 7335: 7331: 7326: 7322: 7318: 7315: 7309: 7303: 7298: 7273: 7253: 7246: 7230: 7207: 7199: 7195: 7191: 7185: 7177: 7173: 7165: 7164:Dirac measure 7149: 7146: 7143: 7135: 7131: 7116: 7096: 7093: 7090: 7076: 7063: 7054: 7050: 7045: 7041: 7037: 7032: 7029: 7024: 7019: 7015: 7011: 7008: 7002: 6996: 6991: 6966: 6963: 6960: 6952: 6948: 6925: 6915: 6912: 6900: 6894: 6891: 6888: 6882: 6879: 6874: 6869: 6866: 6858: 6853: 6847: 6839: 6835: 6826: 6810: 6807: 6804: 6801: 6798: 6795: 6792: 6772: 6769: 6766: 6763: 6757: 6749: 6746: 6743: 6740: 6736: 6730: 6727: 6724: 6710: 6707: 6699: 6695: 6685: 6672: 6664: 6661: 6657: 6653: 6648: 6644: 6640: 6634: 6631: 6625: 6620: 6616: 6612: 6609: 6603: 6597: 6592: 6565: 6562: 6557: 6552: 6549: 6544: 6538: 6530: 6526: 6505: 6502: 6499: 6492: 6488: 6472: 6450: 6441: 6438: 6435: 6427: 6424: 6418: 6412: 6404: 6400: 6396: 6390: 6382: 6378: 6374: 6368: 6360: 6356: 6335: 6332: 6329: 6326: 6323: 6315: 6312: 6308: 6298: 6285: 6277: 6274: 6268: 6265: 6256: 6252: 6248: 6245: 6231: 6204: 6201: 6195: 6192: 6183: 6179: 6175: 6172: 6158: 6132: 6129: 6123: 6086: 6083: 6077: 6033: 6005: 6001: 5994: 5989: 5986: 5983: 5979: 5975: 5961: 5943: 5940: 5934: 5931: 5922: 5918: 5914: 5911: 5907: 5902: 5899: 5896: 5892: 5888: 5884: 5857: 5854: 5848: 5845: 5836: 5832: 5828: 5825: 5817: 5813: 5806: 5794: 5774: 5771: 5768: 5762: 5756: 5753: 5750: 5741: 5736: 5733: 5730: 5726: 5702: 5699: 5696: 5688: 5685: 5682: 5676: 5671: 5667: 5646: 5643: 5640: 5637: 5634: 5631: 5628: 5625: 5622: 5619: 5616: 5593: 5590: 5585: 5581: 5574: 5568: 5565: 5560: 5556: 5549: 5544: 5541: 5538: 5534: 5507: 5504: 5501: 5495: 5489: 5486: 5483: 5474: 5469: 5465: 5454: 5440: 5437: 5431: 5428: 5422: 5419: 5416: 5410: 5407: 5401: 5398: 5374: 5359: 5356: 5345: 5342: 5310: 5294: 5291: 5286: 5282: 5260: 5253: 5250: 5247: 5241: 5235: 5232: 5229: 5223: 5217: 5214: 5211: 5205: 5199: 5196: 5193: 5187: 5181: 5178: 5175: 5169: 5163: 5160: 5157: 5150: 5146: 5141: 5136: 5133: 5130: 5125: 5118: 5115: 5112: 5105: 5100: 5094: 5091: 5088: 5076: 5042: 5039: 5032: 5029: 5024: 5020: 5006: 5001: 4998: 4989: 4979: 4975: 4961: 4956: 4953: 4945: 4940: 4936: 4914: 4907: 4904: 4899: 4895: 4889: 4884: 4881: 4878: 4874: 4860: 4852: 4847: 4843: 4839: 4836: 4831: 4827: 4822: 4814: 4810: 4800: 4795: 4791: 4778: 4774: 4770: 4765: 4761: 4752: 4742: 4738: 4734: 4729: 4725: 4715: 4711: 4701: 4697: 4693: 4690: 4687: 4682: 4678: 4671: 4660: 4644: 4641: 4635: 4631: 4624: 4619: 4616: 4613: 4609: 4585: 4582: 4579: 4576: 4573: 4570: 4567: 4564: 4561: 4558: 4555: 4549: 4546: 4519: 4516: 4513: 4509: 4505: 4502: 4499: 4493: 4490: 4483: 4480: 4477: 4473: 4469: 4466: 4463: 4457: 4454: 4444: 4441: 4438: 4435: 4432: 4429: 4426: 4414: 4411: 4405: 4400: 4394: 4386: 4382: 4378: 4372: 4364: 4360: 4356: 4351: 4347: 4338: 4328: 4311: 4303: 4300: 4298: 4289: 4282: 4278: 4274: 4271: 4269: 4259: 4252: 4244: 4240: 4235: 4227: 4223: 4219: 4214: 4207: 4199: 4195: 4190: 4182: 4178: 4174: 4171: 4166: 4158: 4155: 4152: 4143: 4140: 4137: 4133: 4128: 4120: 4116: 4112: 4109: 4107: 4098: 4095: 4092: 4085: 4080: 4077: 4074: 4058: 4038: 4030: 4027: 4025: 4016: 4009: 4005: 4001: 3998: 3994: 3987: 3983: 3979: 3974: 3966: 3963: 3960: 3951: 3948: 3945: 3941: 3936: 3928: 3924: 3920: 3917: 3915: 3906: 3903: 3900: 3893: 3888: 3885: 3882: 3850: 3846: 3843: 3837: 3831: 3828: 3825: 3815: 3810: 3779: 3767: 3761: 3758: 3755: 3749: 3746: 3743: 3740: 3731: 3726: 3723: 3714: 3709: 3705: 3694: 3685: 3681: 3673: 3664: 3660: 3656: 3650: 3647: 3644: 3640: 3637: 3634: 3631: 3622: 3618: 3612: 3608: 3605: 3602: 3598: 3591: 3588: 3585: 3581: 3556: 3536: 3528: 3524: 3505: 3502: 3499: 3485: 3482: 3478: 3475: 3468: 3458: 3438: 3435: 3429: 3426: 3420: 3415: 3411: 3407: 3404: 3396: 3387: 3383: 3378: 3373: 3369: 3365: 3362: 3356: 3350: 3345: 3318: 3315: 3310: 3304: 3296: 3292: 3257: 3254: 3244: 3241: 3238: 3235: 3232: 3229: 3226: 3223: 3220: 3217: 3214: 3208: 3205: 3200: 3195: 3192: 3184: 3179: 3173: 3165: 3161: 3153: 3134: 3131: 3128: 3114: 3111: 3104: 3100: 3093:Fair die roll 3090: 3077: 3069: 3066: 3060: 3057: 3051: 3046: 3042: 3038: 3035: 3016: 3012: 3007: 3002: 2998: 2994: 2991: 2985: 2979: 2974: 2949: 2941: 2925: 2922: 2919: 2913: 2910: 2901: 2897: 2893: 2890: 2871: 2867: 2862: 2857: 2853: 2849: 2846: 2832: 2827: 2814: 2798: 2795: 2789: 2786: 2780: 2762: 2758: 2754: 2736: 2732: 2723: 2719: 2715: 2667: 2663: 2662:probabilities 2647: 2640: 2636: 2633:Consider the 2621: 2619: 2615: 2611: 2609: 2604: 2602: 2598: 2594: 2590: 2580: 2578: 2574: 2569: 2568:with itself. 2555: 2547: 2528: 2525: 2522: 2516: 2490: 2487: 2484: 2478: 2472: 2466: 2449: 2447: 2443: 2427: 2419: 2399: 2394: 2387: 2381: 2376: 2367: 2362: 2337: 2333: 2321: 2315: 2310: 2300: 2297: 2294: 2287: 2283: 2276: 2272: 2268: 2266: 2254: 2251: 2248: 2241: 2237: 2232: 2229: 2224: 2221: 2218: 2211: 2207: 2203: 2197: 2193: 2189: 2187: 2179: 2160: 2144: 2136: 2126: 2123: 2119: 2114: 2112: 2111: 2087: 2081: 2076: 2068: 2062: 2056: 2051: 2043: 2041: 2032: 2024: 2015: 2011: 2006: 2002: 1997: 1993: 1989: 1985: 1977: 1968: 1964: 1959: 1955: 1950: 1946: 1942: 1939: 1937: 1928: 1921: 1912: 1908: 1901: 1892: 1888: 1883: 1879: 1874: 1870: 1866: 1863: 1859: 1852: 1849: 1846: 1838: 1835: 1832: 1828: 1823: 1819: 1814: 1810: 1806: 1803: 1801: 1793: 1790: 1787: 1781: 1776: 1773: 1770: 1738: 1735: 1732: 1726: 1720: 1717: 1714: 1704: 1700: 1684: 1664: 1655: 1639: 1630: 1626: 1618: 1609: 1605: 1601: 1595: 1592: 1589: 1585: 1582: 1579: 1576: 1567: 1563: 1559: 1556: 1553: 1549: 1542: 1539: 1536: 1532: 1523: 1521: 1502: 1494: 1490: 1466: 1458: 1454: 1446: 1430: 1426: 1423: 1416: 1412: 1408: 1404: 1400: 1390: 1388: 1384: 1379: 1363: 1352: 1346: 1332: 1326: 1309: 1295: 1286: 1277: 1269: 1263: 1257: 1253: 1250: 1247: 1241: 1213: 1190: 1184: 1181: 1178: 1175: 1169: 1160: 1140: 1117: 1111: 1091: 1083: 1070: 1066: 1062: 1057: 1056: 1051: 1047: 1043: 1039: 1038: 1036: 1035: 1034: 1013: 1007: 1001: 998: 995: 987: 972: 969: 963: 957: 954: 951: 943: 942: 941: 921: 918: 892: 889: 886: 874: 872: 868: 864: 848: 839: 835: 832:This section 830: 827: 823: 822: 814: 797: 791: 768: 760: 756: 747: 728: 725: 722: 716: 693: 685: 681: 671: 658: 653: 645: 642: 639: 632: 628: 623: 618: 613: 610: 607: 602: 596: 593: 590: 583: 579: 574: 569: 566: 563: 560: 554: 548: 543: 518: 511: 495: 473: 470: 467: 460: 456: 448: 432: 423: 421: 415: 410: 405: 401: 396: 390: 385: 381: 376: 363: 358: 355: 352: 347: 342: 338: 334: 331: 326: 320: 317: 314: 305: 300: 295: 291: 287: 284: 278: 250: 243: 227: 220: 204: 201: 198: 186: 183: 180: 179: 178: 176: 167: 164: 162: 158: 153: 151: 150: 144: 142: 141:source coding 137: 132: 130: 126: 122: 118: 114: 110: 106: 102: 98: 94: 83: 80: 72: 62: 57: 53: 49: 48: 41: 32: 31: 19: 9725: 9718:C.E. Shannon 9698:. Retrieved 9694: 9685: 9673: 9670: 9667:Myron Tribus 9662: 9650: 9647: 9641: 9632: 9612: 9605: 9589:. Springer. 9585: 9578: 9551: 9530: 9525: 9494: 9392: 9158: 9105: 9054: 8910: 8653: 8496: 8357: 8230:intersection 8229: 8203: 7919: 7885: 7878: 7873: 7870: 7869: 7861: 7854: 7831: 7748: 7719: 7709:in terms of 7564: 7448: 7362: 7243:can take is 7082: 6951:equiprobable 6691: 6304: 5962: 5795: 5455: 5373:combinations 5077: 4971:when 2  4334: 3811: 3464: 3096: 2632: 2613: 2612: 2605: 2600: 2597:Myron Tribus 2588: 2586: 2570: 2450: 2132: 2120:is that the 2115: 2108: 1656: 1524: 1396: 1386: 1382: 1380: 1310: 1079: 1053: 1032: 875: 861:For a given 860: 845:October 2018 842: 838:adding to it 833: 672: 424: 413: 399: 388: 383: 379: 377: 190: 173: 165: 160: 154: 147: 145: 133: 108: 104: 100: 96: 90: 75: 66: 59:Please help 55: 44: 8683:results in 8234:independent 7839:with known 7834:independent 7365:categorical 7130:degenerates 3523:independent 2118:likelihoods 1699:independent 242:probability 113:probability 63:if you can. 9758:Categories 9700:2021-04-01 9653:, 434–449 9517:References 9013:functions 7851:Derivation 7845:additivity 7707:isomorphic 7616:normalized 5391:. Indeed, 5052:otherwise. 4921:otherwise, 4870:when  3786:otherwise. 2690:and tails 2159:defined as 1403:additivity 817:Properties 170:Definition 9570:608622533 9435:ω 9402:ω 9363:ω 9356:⁡ 9340:⁡ 9319:ω 9312:⁡ 9303:⁡ 9297:− 9282:ω 9275:⁡ 9243:ω 9236:⁡ 9207:ω 9177:ω 9170:⁡ 9083:⁡ 9031:⁡ 9011:logarithm 8961:⋅ 8929:⋅ 8877:⁡ 8871:⋅ 8859:⁡ 8821:⁡ 8794:⁡ 8763:⁡ 8738:⁡ 8720:⁡ 8698:⁡ 8668:⋅ 8628:⁡ 8622:⋅ 8610:⁡ 8595:∩ 8586:⁡ 8568:⁡ 8471:⁡ 8453:⁡ 8438:∩ 8429:⁡ 8411:⁡ 8174:ω 8167:⁡ 8129:ω 8122:⁡ 8084:ω 8077:⁡ 8039:ω 8032:⁡ 8006:⋅ 7968:ω 7961:⁡ 7937:ω 7930:⁡ 7899:ω 7794:⁡ 7781:− 7766:⁡ 7746:is given 7717:as well. 7682:… 7576:∈ 7540:otherwise 7517:∈ 7446:given by 7332:⁡ 7319:− 7304:⁡ 7196:δ 7051:⁡ 7025:⁡ 7012:− 6997:⁡ 6922:otherwise 6901:∩ 6883:∈ 6802:− 6767:≥ 6750:∈ 6711:∼ 6662:≈ 6654:⁡ 6626:⁡ 6613:− 6598:⁡ 6473:∗ 6439:− 6428:− 6397:∗ 6309:) of the 6278:0.2630344 6249:− 6232:⁡ 6205:2.5849625 6176:− 6159:⁡ 6042:¯ 5980:⋃ 5915:− 5885:⁡ 5829:− 5807:⁡ 5644:≤ 5632:≤ 5620:≠ 5575:∩ 5423:⋅ 5402:⋅ 5101:∈ 4875:∑ 4840:⋯ 4753:… 4691:… 4610:∑ 4550:∈ 4510:∧ 4474:⊻ 4436:∨ 4420:¬ 4383:δ 4361:δ 4301:≈ 4220:− 4175:− 4113:− 4086:⁡ 4028:≈ 3921:− 3894:⁡ 3768:∩ 3750:∈ 3486:∼ 3436:≈ 3421:⁡ 3408:− 3379:⁡ 3366:− 3351:⁡ 3264:otherwise 3209:∈ 3115:∼ 3052:⁡ 3039:− 3008:⁡ 2995:− 2980:⁡ 2894:− 2863:⁡ 2850:− 2833:⁡ 2813:measuring 2714:fair coin 2589:surprisal 2517:⁡ 2479:⁡ 2444:over its 2382:⁡ 2363:⁡ 2316:⁡ 2273:∑ 2233:⁡ 2204:− 2194:∑ 2157:above is 2082:⁡ 2057:⁡ 2003:⁡ 1990:− 1956:⁡ 1943:− 1880:⁡ 1867:− 1820:⁡ 1807:− 1782:⁡ 1353:− 1344:¬ 1284:¬ 1254:⁡ 1182:− 1167:¬ 1017:∞ 1002:⁡ 996:− 958:⁡ 952:− 925:∞ 614:⁡ 570:⁡ 564:− 549:⁡ 378:The base 348:⁡ 335:− 301:⁡ 288:− 105:surprisal 69:June 2017 9500:See also 9464:of base 9009:are the 7857:a priori 7060: Sh 6947:integers 6669: Sh 6665:3.169925 6465:, where 6282: Sh 6209: Sh 5948: Sh 5944:4.169925 5862: Sh 5858:5.169925 4308: Sh 4304:5.169925 4035: Sh 4031:5.169925 3074: Sh 2811:. Upon 2722:one half 2624:Examples 2593:surprise 2506:, where 2418:expected 1657:because 1389:happen. 1320:log-odds 1235:log-odds 1082:log-odds 1069:variance 1067:and its 129:log-odds 45:require 9669:(1961) 9490:hartley 9458:shannon 9126:is the 8236:events 8232:of two 8228:is the 8206:measure 8156:, then 8066:, then 7597:numbers 7372:support 7109:above, 6700:(DURV) 6491:outcome 6489:. The 5389:⁠ 5377:⁠ 5325:⁠ 5313:⁠ 4601:, then 2940:shannon 2664:of the 2544:is the 2446:support 1703:outcome 1411:measure 1383:doesn't 1046:lottery 510:outcome 420:hartley 395:shannon 217:and an 161:shannon 149:entropy 47:cleanup 9678:borrow 9620:  9593:  9568:  9558:  9106:where 8111:. If 7604:events 6823:. The 6761:  5307:and a 5046:  5010:  4965:  4864:  3735:  2724:each, 2720:) are 2666:events 2660:. The 2357:  867:events 95:, the 7888:event 7618:to a 7606:on a 7370:with 7132:to a 3439:2.585 3150:with 2712:(see 2583:Notes 1443:with 445:with 240:with 219:event 117:event 107:, or 9655:link 9618:ISBN 9591:ISBN 9566:OCLC 9556:ISBN 9141:< 8517:and 8380:and 8316:and 8256:and 8186:> 8141:< 7837:DRVs 7442:and 6239:Diff 6166:Same 6117:Diff 6102:and 6071:Same 6039:Same 6030:Diff 5972:Same 5963:Let 5718:and 5609:for 5526:and 4539:for 3549:and 2716:and 2571:For 2448:. 2133:The 2107:See 1697:are 1677:and 1482:and 1387:does 416:= 10 202:> 134:The 125:odds 9486:nat 9456:is 9337:log 9300:log 9114:log 9080:log 9022:log 8557:is 8358:sum 7843:by 7785:log 7641:. 7610:of 7323:log 7083:If 7042:log 7016:log 6827:is 6645:log 6617:log 6253:log 6180:log 5919:log 5833:log 5311:of 4279:log 4224:log 4179:log 4117:log 4006:log 3984:log 3925:log 3866:is 3529:of 3412:log 3370:log 3043:log 2999:log 2898:log 2854:log 2799:0.5 2637:of 2548:of 2230:log 1994:log 1947:log 1871:log 1811:log 1522:is 1251:log 1050:won 999:log 955:log 840:. 611:log 567:log 508:as 391:= 2 339:log 292:log 127:or 91:In 9760:: 9724:, 9720:, 9693:. 9651:57 9564:. 9538:^ 9492:. 9156:. 8201:. 7890:, 7847:. 7343:0. 7286:is 6979:is 6796::= 6553:36 6451:36 6110:Pr 6064:Pr 5935:18 5849:36 5793:. 5432:18 5420:15 5411:36 5386:18 5360:15 5002:36 4957:18 4815:18 4719:Pr 4357::= 3995:36 3727:36 3626:Pr 3569:is 3444:Sh 2962:is 2620:. 2603:. 2579:. 1754:is 1571:Pr 1058:.) 561::= 402:= 310:Pr 285::= 103:, 99:, 9703:. 9680:. 9657:. 9626:. 9599:. 9572:. 9472:e 9444:) 9439:n 9431:( 9428:I 9406:n 9378:) 9372:) 9367:n 9359:( 9353:P 9349:1 9344:( 9334:= 9331:) 9328:) 9323:n 9315:( 9309:P 9306:( 9294:= 9291:) 9286:n 9278:( 9272:I 9252:) 9247:n 9239:( 9233:P 9211:n 9186:) 9181:n 9173:( 9167:I 9144:0 9138:K 9092:) 9089:x 9086:( 9077:K 9074:= 9071:) 9068:x 9065:( 9062:f 9040:) 9037:x 9034:( 9026:b 8997:) 8994:y 8991:( 8988:f 8985:+ 8982:) 8979:x 8976:( 8973:f 8970:= 8967:) 8964:y 8958:x 8955:( 8952:f 8932:) 8926:( 8923:f 8891:) 8886:) 8883:B 8880:( 8874:P 8868:) 8865:A 8862:( 8856:P 8851:( 8846:f 8843:= 8833:) 8830:) 8827:B 8824:( 8818:P 8815:( 8812:f 8809:+ 8806:) 8803:) 8800:A 8797:( 8791:P 8788:( 8785:f 8782:= 8775:) 8772:) 8769:C 8766:( 8760:P 8757:( 8754:f 8747:) 8744:B 8741:( 8735:I 8732:+ 8729:) 8726:A 8723:( 8717:I 8714:= 8707:) 8704:C 8701:( 8695:I 8671:) 8665:( 8662:f 8640:. 8637:) 8634:B 8631:( 8625:P 8619:) 8616:A 8613:( 8607:P 8604:= 8601:) 8598:B 8592:A 8589:( 8583:P 8580:= 8577:) 8574:C 8571:( 8565:P 8545:C 8525:B 8505:A 8483:. 8480:) 8477:B 8474:( 8468:I 8465:+ 8462:) 8459:A 8456:( 8450:I 8447:= 8444:) 8441:B 8435:A 8432:( 8426:I 8423:= 8420:) 8417:C 8414:( 8408:I 8388:B 8368:A 8344:C 8324:B 8304:A 8284:C 8264:B 8244:A 8216:C 8189:0 8183:) 8178:n 8170:( 8164:I 8144:1 8138:) 8133:n 8125:( 8119:P 8099:0 8096:= 8093:) 8088:n 8080:( 8074:I 8054:1 8051:= 8048:) 8043:n 8035:( 8029:P 8009:) 8003:( 8000:f 7980:) 7977:) 7972:n 7964:( 7958:P 7955:( 7952:f 7949:= 7946:) 7941:n 7933:( 7927:I 7903:n 7866:: 7818:. 7814:) 7811:x 7808:( 7803:X 7799:p 7789:2 7778:= 7775:) 7772:x 7769:( 7761:X 7757:I 7734:x 7731:= 7728:X 7692:} 7688:N 7685:, 7679:, 7676:2 7673:, 7670:1 7666:{ 7662:= 7659:] 7656:N 7653:[ 7629:p 7581:S 7573:s 7544:. 7534:, 7531:0 7522:S 7512:i 7508:s 7504:= 7501:k 7496:, 7491:i 7487:p 7480:{ 7475:= 7472:) 7469:k 7466:( 7461:X 7457:p 7428:N 7423:1 7420:= 7417:i 7411:} 7403:i 7399:s 7393:{ 7388:= 7383:S 7340:= 7336:1 7327:2 7316:= 7313:) 7310:b 7307:( 7299:X 7295:I 7274:X 7254:b 7231:X 7211:) 7208:k 7205:( 7200:b 7192:= 7189:) 7186:k 7183:( 7178:X 7174:p 7150:b 7147:= 7144:X 7117:X 7097:a 7094:= 7091:b 7064:. 7055:N 7046:2 7038:= 7033:N 7030:1 7020:2 7009:= 7006:) 7003:k 7000:( 6992:X 6988:I 6967:k 6964:= 6961:X 6926:. 6916:, 6913:0 6905:Z 6898:] 6895:b 6892:, 6889:a 6886:[ 6880:k 6875:, 6870:N 6867:1 6859:{ 6854:= 6851:) 6848:k 6845:( 6840:X 6836:p 6811:1 6808:+ 6805:a 6799:b 6793:N 6773:. 6770:a 6764:b 6758:, 6754:Z 6747:b 6744:, 6741:a 6737:; 6734:] 6731:b 6728:, 6725:a 6722:[ 6718:U 6715:D 6708:X 6673:. 6658:9 6649:2 6641:= 6635:9 6632:1 6621:2 6610:= 6607:) 6604:5 6601:( 6593:Z 6589:I 6566:9 6563:1 6558:= 6550:4 6545:= 6542:) 6539:5 6536:( 6531:Z 6527:p 6506:5 6503:= 6500:Z 6446:| 6442:7 6436:z 6432:| 6425:6 6419:= 6416:) 6413:y 6410:( 6405:Y 6401:p 6394:) 6391:x 6388:( 6383:X 6379:p 6375:= 6372:) 6369:z 6366:( 6361:Z 6357:p 6336:Y 6333:+ 6330:X 6327:= 6324:Z 6286:. 6275:= 6269:6 6266:5 6257:2 6246:= 6243:) 6235:( 6229:I 6202:= 6196:6 6193:1 6184:2 6173:= 6170:) 6162:( 6156:I 6133:6 6130:5 6124:= 6121:) 6113:( 6087:6 6084:1 6078:= 6075:) 6067:( 6034:= 6006:i 6002:A 5995:6 5990:1 5987:= 5984:i 5976:= 5941:= 5932:1 5923:2 5912:= 5908:) 5903:4 5900:, 5897:3 5893:B 5889:( 5882:I 5855:= 5846:1 5837:2 5826:= 5823:) 5818:2 5814:A 5810:( 5804:I 5781:} 5778:) 5775:3 5772:, 5769:4 5766:( 5763:, 5760:) 5757:4 5754:, 5751:3 5748:( 5745:{ 5742:= 5737:4 5734:, 5731:3 5727:B 5706:} 5703:2 5700:= 5697:Y 5689:2 5686:= 5683:X 5680:{ 5677:= 5672:2 5668:A 5647:6 5641:k 5638:, 5635:j 5629:1 5626:, 5623:k 5617:j 5597:} 5594:1 5591:= 5586:k 5582:c 5578:{ 5572:} 5569:1 5566:= 5561:j 5557:c 5553:{ 5550:= 5545:k 5542:, 5539:j 5535:B 5514:} 5511:) 5508:k 5505:, 5502:k 5499:( 5496:= 5493:) 5490:Y 5487:, 5484:X 5481:( 5478:{ 5475:= 5470:k 5466:A 5441:1 5438:= 5429:1 5417:+ 5408:1 5399:6 5383:/ 5380:1 5357:= 5351:) 5346:2 5343:6 5338:( 5322:6 5319:/ 5316:1 5295:2 5292:= 5287:k 5283:C 5261:} 5257:) 5254:6 5251:, 5248:6 5245:( 5242:, 5239:) 5236:5 5233:, 5230:5 5227:( 5224:, 5221:) 5218:4 5215:, 5212:4 5209:( 5206:, 5203:) 5200:3 5197:, 5194:3 5191:( 5188:, 5185:) 5182:2 5179:, 5176:2 5173:( 5170:, 5167:) 5164:1 5161:, 5158:1 5155:( 5151:{ 5147:= 5142:6 5137:1 5134:= 5131:k 5126:} 5122:) 5119:k 5116:, 5113:k 5110:( 5106:{ 5098:) 5095:Y 5092:, 5089:X 5086:( 5043:, 5040:0 5033:2 5030:= 5025:k 5021:c 5007:, 4999:1 4990:1 4980:k 4976:c 4962:, 4954:1 4946:{ 4941:= 4915:0 4908:2 4905:= 4900:i 4896:c 4890:6 4885:1 4882:= 4879:i 4861:, 4853:! 4848:k 4844:c 4837:! 4832:1 4828:c 4823:1 4811:1 4801:{ 4796:= 4784:) 4779:6 4775:c 4771:= 4766:6 4762:C 4743:1 4739:c 4735:= 4730:1 4726:C 4722:( 4716:= 4707:) 4702:6 4698:c 4694:, 4688:, 4683:1 4679:c 4675:( 4672:f 4645:2 4642:= 4636:k 4632:C 4625:6 4620:1 4617:= 4614:k 4589:} 4586:6 4583:, 4580:5 4577:, 4574:4 4571:, 4568:3 4565:, 4562:2 4559:, 4556:1 4553:{ 4547:k 4520:k 4517:= 4514:Y 4506:k 4503:= 4500:X 4494:, 4491:2 4484:k 4481:= 4478:Y 4470:k 4467:= 4464:X 4458:, 4455:1 4448:) 4445:k 4442:= 4439:Y 4433:k 4430:= 4427:X 4424:( 4415:, 4412:0 4406:{ 4401:= 4398:) 4395:Y 4392:( 4387:k 4379:+ 4376:) 4373:X 4370:( 4365:k 4352:k 4348:C 4312:. 4290:6 4283:2 4275:2 4272:= 4260:] 4256:) 4253:4 4250:( 4245:Y 4241:p 4236:[ 4228:2 4215:] 4211:) 4208:2 4205:( 4200:X 4196:p 4191:[ 4183:2 4172:= 4167:] 4162:) 4159:4 4156:, 4153:2 4150:( 4144:Y 4141:, 4138:X 4134:p 4129:[ 4121:2 4110:= 4102:) 4099:4 4096:, 4093:2 4090:( 4081:Y 4078:, 4075:X 4071:I 4039:, 4017:6 4010:2 4002:2 3999:= 3988:2 3980:= 3975:] 3970:) 3967:4 3964:, 3961:2 3958:( 3952:Y 3949:, 3946:X 3942:p 3937:[ 3929:2 3918:= 3910:) 3907:4 3904:, 3901:2 3898:( 3889:Y 3886:, 3883:X 3879:I 3854:) 3851:4 3847:, 3844:2 3841:( 3838:= 3835:) 3832:Y 3829:, 3826:X 3823:( 3780:0 3772:N 3765:] 3762:6 3759:, 3756:1 3753:[ 3747:y 3744:, 3741:x 3732:, 3724:1 3715:{ 3710:= 3698:) 3695:y 3692:( 3686:Y 3682:p 3677:) 3674:x 3671:( 3665:X 3661:p 3657:= 3654:) 3651:y 3648:= 3645:Y 3641:, 3638:x 3635:= 3632:X 3629:( 3623:= 3613:) 3609:y 3606:, 3603:x 3599:( 3592:Y 3589:, 3586:X 3582:p 3557:Y 3537:X 3509:] 3506:6 3503:, 3500:1 3497:[ 3493:U 3490:D 3483:Y 3479:, 3476:X 3430:6 3427:1 3416:2 3405:= 3400:) 3397:4 3394:( 3388:X 3384:p 3374:2 3363:= 3360:) 3357:4 3354:( 3346:X 3342:I 3319:6 3316:1 3311:= 3308:) 3305:4 3302:( 3297:X 3293:p 3258:, 3255:0 3248:} 3245:6 3242:, 3239:5 3236:, 3233:4 3230:, 3227:3 3224:, 3221:2 3218:, 3215:1 3212:{ 3206:k 3201:, 3196:6 3193:1 3185:{ 3180:= 3177:) 3174:k 3171:( 3166:X 3162:p 3138:] 3135:6 3132:, 3129:1 3126:[ 3122:U 3119:D 3112:X 3078:. 3070:1 3067:= 3061:2 3058:1 3047:2 3036:= 3031:) 3027:T 3023:( 3017:X 3013:p 3003:2 2992:= 2989:) 2986:T 2983:( 2975:X 2971:I 2950:T 2926:, 2923:1 2920:= 2914:2 2911:1 2902:2 2891:= 2886:) 2882:H 2878:( 2872:X 2868:p 2858:2 2847:= 2844:) 2840:H 2836:( 2828:X 2824:I 2796:= 2790:2 2787:1 2781:= 2777:) 2773:T 2769:( 2763:X 2759:p 2755:= 2751:) 2747:H 2743:( 2737:X 2733:p 2699:T 2677:H 2648:X 2556:X 2532:) 2529:X 2526:; 2523:X 2520:( 2514:I 2494:) 2491:X 2488:; 2485:X 2482:( 2476:I 2473:= 2470:) 2467:X 2464:( 2460:H 2428:X 2400:, 2395:] 2391:) 2388:X 2385:( 2377:X 2373:I 2368:[ 2360:E 2350:f 2347:e 2344:d 2338:= 2325:) 2322:x 2319:( 2311:X 2307:I 2301:) 2298:x 2295:( 2288:X 2284:p 2277:x 2269:= 2255:) 2252:x 2249:( 2242:X 2238:p 2225:) 2222:x 2219:( 2212:X 2208:p 2198:x 2190:= 2183:) 2180:X 2177:( 2173:H 2145:X 2091:) 2088:y 2085:( 2077:Y 2073:I 2069:+ 2066:) 2063:x 2060:( 2052:X 2048:I 2044:= 2033:] 2028:) 2025:y 2022:( 2016:Y 2012:p 2007:[ 1998:2 1986:] 1981:) 1978:x 1975:( 1969:X 1965:p 1960:[ 1951:2 1940:= 1929:] 1925:) 1922:y 1919:( 1913:Y 1909:p 1905:) 1902:x 1899:( 1893:X 1889:p 1884:[ 1875:2 1864:= 1860:] 1856:) 1853:y 1850:, 1847:x 1844:( 1839:Y 1836:, 1833:X 1829:p 1824:[ 1815:2 1804:= 1797:) 1794:y 1791:, 1788:x 1785:( 1777:Y 1774:, 1771:X 1767:I 1742:) 1739:y 1736:, 1733:x 1730:( 1727:= 1724:) 1721:Y 1718:, 1715:X 1712:( 1685:Y 1665:X 1643:) 1640:y 1637:( 1631:Y 1627:p 1622:) 1619:x 1616:( 1610:X 1606:p 1602:= 1599:) 1596:y 1593:= 1590:Y 1586:, 1583:x 1580:= 1577:X 1574:( 1568:= 1564:) 1560:y 1557:, 1554:x 1550:( 1543:Y 1540:, 1537:X 1533:p 1506:) 1503:y 1500:( 1495:Y 1491:p 1470:) 1467:x 1464:( 1459:X 1455:p 1431:Y 1427:, 1424:X 1367:) 1364:x 1361:( 1357:I 1350:) 1347:x 1341:( 1337:I 1333:= 1330:) 1327:x 1324:( 1296:) 1290:) 1287:x 1281:( 1278:p 1273:) 1270:x 1267:( 1264:p 1258:( 1248:= 1245:) 1242:x 1239:( 1214:x 1194:) 1191:x 1188:( 1185:p 1179:1 1176:= 1173:) 1170:x 1164:( 1161:p 1141:x 1121:) 1118:x 1115:( 1112:p 1092:x 1071:. 1014:= 1011:) 1008:0 1005:( 973:0 970:= 967:) 964:1 961:( 928:] 922:, 919:0 916:[ 896:] 893:1 890:, 887:0 884:[ 847:) 843:( 801:) 798:X 795:( 792:H 772:) 769:x 766:( 761:X 757:h 732:) 729:Y 726:; 723:X 720:( 717:I 697:) 694:x 691:( 686:X 682:I 659:. 654:) 646:) 643:x 640:( 633:X 629:p 624:1 619:( 608:= 603:] 597:) 594:x 591:( 584:X 580:p 575:[ 558:) 555:x 552:( 544:X 540:I 519:x 496:X 474:) 471:x 468:( 461:X 457:p 433:X 414:b 404:e 400:b 389:b 384:b 380:b 364:. 359:) 356:P 353:( 343:b 332:= 327:] 321:) 318:x 315:( 306:[ 296:b 282:) 279:x 276:( 272:I 251:P 228:x 205:1 199:b 82:) 76:( 71:) 67:( 20:)

Index

Self-information
cleanup
quality standards
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information theory
probability
event
random variable
odds
log-odds
Shannon information
source coding
entropy
units of information
Claude Shannon
event
probability
shannon
e
natural unit of information
hartley
probability mass function
outcome
mutual information

adding to it
probability space
events
strictly decreasing monotonic function

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