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- {{Short description|Probability theory and statistics concept}} ...ty table]] is typically used to represent the conditional probability. The conditional distribution contrasts with the [[marginal distribution]] of a random varia ...13 KB (2,045 words) - 12:07, 26 June 2025
- 32 bytes (3 words) - 20:15, 10 July 2006
- #redirect [[Conditional probability distribution]] ...50 bytes (4 words) - 21:20, 29 May 2007
Page text matches
- {{wiktionary|conditional}} '''Conditional''' (if then) may refer to: ...1 KB (186 words) - 03:53, 27 August 2024
- #REDIRECT [[Conditional probability]] ...37 bytes (3 words) - 07:17, 26 April 2006
- #redirect [[Conditional probability distribution]] ...50 bytes (4 words) - 21:20, 29 May 2007
- * [[Posterior probability]], the conditional probability that is assigned when the relevant evidence is taken into account ...390 bytes (46 words) - 16:27, 22 March 2025
- [[Category:Conditional probability]] ...206 bytes (20 words) - 18:03, 25 November 2024
- ...[stochastic kernel]] In statistics and probability theory, the conditional probability distribution function controlling the transitions of a stochastic process ...619 bytes (79 words) - 10:53, 6 October 2024
- ...element of chance. Probabilistic proportions may be either categorical or conditional.<ref name="oliver">{{cite book |last1=Newsome |first1=Bruce Oliver |title=A [[Category:Probability interpretations]] ...780 bytes (96 words) - 07:06, 11 July 2023
- {{Short description|1=Overview of and topical guide to probability}} {{Probability topics sidebar}} ...8 KB (856 words) - 00:09, 23 June 2024
- {{Short description|Probability distribution}} ...ixture''' with mixing probability density <math>g</math> is the continuous probability distribution of a random variable <math>Y</math> of the form ...3 KB (376 words) - 13:54, 17 April 2024
- {{Short description|Probability theory and statistics concept}} ...ty table]] is typically used to represent the conditional probability. The conditional distribution contrasts with the [[marginal distribution]] of a random varia ...13 KB (2,045 words) - 12:07, 26 June 2025
- ...''</sub>. In the continuous case, we could also consider the [[conditional probability]] of a person who has attained age (''x'') dying between ages ''x'' and ''x ...ability in the continuous case. The approximate force of mortality is this probability divided by ''Δx''. If we let ''Δx'' tend to zero, we get the function for ' ...5 KB (911 words) - 18:05, 30 April 2024
- ...t <math>E_1</math> occurs before <math>E_2</math> equals the [[conditional probability]] that <math>E_1</math> occurs given that <math>E_1</math> or <math>E_2</ma ...P}[E_1]</math> and <math>\operatorname{P}[E_2]</math> ; in particular, the probability of a draw is irrelevant. ...5 KB (818 words) - 06:32, 14 April 2025
- {{short description|Old term for the probability distribution of an unobserved variable}} In [[probability theory]], '''inverse probability''' is an old term for the [[probability distribution]] of an unobserved variable. ...4 KB (603 words) - 13:59, 3 October 2024
- {{short description|Problem asking the probability that the sun will rise tomorrow}} ...rise tomorrow?" The sunrise problem illustrates the difficulty of using [[probability theory]] when evaluating the plausibility of statements or beliefs. ...6 KB (931 words) - 23:57, 25 May 2025
- {{Short description|Measure of relative information in probability theory}} ...theory)|individual entropy]] <math>\Eta(X)</math>, with the red being the conditional entropy <math>\Eta(X|Y)</math>. The circle on the right (blue and violet) i ...11 KB (1,935 words) - 15:57, 16 May 2025
- {{Short description|Concept in probability theory}} {{Probability fundamentals}} ...6 KB (1,053 words) - 04:52, 20 June 2025
- ...ath>X</math> is associated with the most uncertainty. Indeed, such uniform probability distributions have maximum possible entropy <math>H(X) = \log_2(n)</math>. In [[quantum information theory]], the notion of entropy is extended from probability distributions to quantum states, or [[density matrix|density matrices]]. Fo ...5 KB (774 words) - 13:37, 16 August 2023
- In [[combinatorics|combinatorial]] [[mathematics]] and [[probability theory]], the '''Schrödinger method''', named after the Austrian physicist ...efined in terms of these order statistics. For example, we might seek the probability that in a certain seven-day period there were at most two days in on which ...3 KB (440 words) - 03:42, 29 November 2022
- ...pendent and independent variables|explanatory variables]]. For the "linear probability model", this relationship is a particularly simple one, and allows the mode ...h the model from the previous iteration is used to supply estimates of the conditional variances, <math>\operatorname{Var}(Y|X=x)</math>, which would vary between ...5 KB (793 words) - 20:08, 22 May 2025
- {{Short description|Proposition in probability theory}} .../math> is defined, and <math>Y</math> is any random variable on the same [[probability space]], then ...8 KB (1,324 words) - 14:12, 10 April 2025