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

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

of the other variables. This contrasts with a conditional distribution, which gives the probabilities contingent upon the values of the other variables...

distributions, i.e. the distributions of each of the individual random variables and the conditional probability distributions, which deal with how the...

of a random variable. The resulting conditional probability distribution is a parametrized family of probability measures called a Markov kernel. Consider...

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

variable is its expected value evaluated with respect to the conditional probability distribution. If the random variable can take on only a finite number...

of the parametrized distribution ("conditional distribution"). A compound probability distribution is the probability distribution that results from assuming...

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

necessarily independent, events or the joint distribution of random variables respectively, using conditional probabilities. The rule is notably used in the context...