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  2. Conditional probability - Wikipedia

    en.wikipedia.org/wiki/Conditional_probability

    In this situation, the event A can be analyzed by a conditional probability with respect to B. If the event of interest is A and the event B is known or assumed to have occurred, "the conditional probability of A given B", or "the probability of A under the condition B", is usually written as P(A|B) [2] or occasionally P B (A).

  3. Conditioning (probability) - Wikipedia

    en.wikipedia.org/wiki/Conditioning_(probability)

    Conditional probabilities, conditional expectations, and conditional probability distributions are treated on three levels: discrete probabilities, probability density functions, and measure theory. Conditioning leads to a non-random result if the condition is completely specified; otherwise, if the condition is left random, the result of ...

  4. Statistical proof - Wikipedia

    en.wikipedia.org/wiki/Statistical_proof

    Bayesian statistics are based on a different philosophical approach for proof of inference.The mathematical formula for Bayes's theorem is: [|] = [|] [] []The formula is read as the probability of the parameter (or hypothesis =h, as used in the notation on axioms) “given” the data (or empirical observation), where the horizontal bar refers to "given".

  5. Conditional probability distribution - Wikipedia

    en.wikipedia.org/wiki/Conditional_probability...

    Given , the Radon-Nikodym theorem implies that there is [3] a -measurable random variable ():, called the conditional probability, such that () = for every , and such a random variable is uniquely defined up to sets of probability zero. A conditional probability is called regular if ⁡ () is a probability measure on (,) for all a.e.

  6. Method of conditional probabilities - Wikipedia

    en.wikipedia.org/wiki/Method_of_conditional...

    The conditional probability at any interior node is the average of the conditional probabilities of its children. The latter property is important because it implies that any interior node whose conditional probability is less than 1 has at least one child whose conditional probability is less than 1.

  7. Berkson's paradox - Wikipedia

    en.wikipedia.org/wiki/Berkson's_paradox

    Berkson's paradox arises because the conditional probability of given within the three-cell subset equals the conditional probability in the overall population, but the unconditional probability within the subset is inflated relative to the unconditional probability in the overall population, hence, within the subset, the presence of decreases ...

  8. Bayes' theorem - Wikipedia

    en.wikipedia.org/wiki/Bayes'_theorem

    The conditional opinion | generalizes the probabilistic conditional (|), i.e. in addition to assigning a probability the source can assign any subjective opinion to the conditional statement (|). A binomial subjective opinion ω A S {\displaystyle \omega _{A}^{S}} is the belief in the truth of statement A {\displaystyle A} with degrees of ...

  9. Probability axioms - Wikipedia

    en.wikipedia.org/wiki/Probability_axioms

    Conditional probabilityProbability of an event occurring, given that another event has already occurred Fully probabilistic design Intuitive statistics – cognitive phenomenon where organisms use data to make generalizations and predictions about the world Pages displaying wikidata descriptions as a fallback