In probability theory, conditional probability is a measure of the probability of an event occurring, given that another event (by assumption, presumption...

In probability theory and statistics, the conditional probability distribution is a probability distribution that describes the probability of an outcome...

In probability theory, regular conditional probability is a concept that formalizes the notion of conditioning on the outcome of a random variable. The...

the conditional probability table (CPT) is defined for a set of discrete and mutually dependent random variables to display conditional probabilities of...

In probability theory, the conditional expectation, conditional expected value, or conditional mean of a random variable is its expected value evaluated...

distributions of each of the individual random variables and the conditional probability distributions, which deal with how the outputs of one random variable...

The posterior probability is a type of conditional probability that results from updating the prior probability with information summarized by the likelihood...

In probability theory, conditional independence describes situations wherein an observation is irrelevant or redundant when evaluating the certainty of...

probabilités, used conditional probability to formulate the relation of an updated posterior probability from a prior probability, given evidence. He...

In probability theory, the law (or formula) of total probability is a fundamental rule relating marginal probabilities to conditional probabilities. It...