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...

other variables, and the conditional probability distribution giving the probabilities for any subset of the variables conditional on particular values of...

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

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

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

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...

The axioms of probability Boole's inequality Probability interpretations Bayesian probability Frequency probability Conditional probability The law of total...

(LR), conditional random fields (CRFs), decision trees among many others. Generative model approaches which uses a joint probability distribution instead...

of these to states. The Markov property states that the conditional probability distribution for the system at the next step (and in fact at all future...

field Conditional random field Borel–Cantelli lemma Wick product Conditioning (probability) Conditional expectation Conditional probability distribution Regular...

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

often is also used for conditional independence) if and only if their joint probability equals the product of their probabilities:: p. 29 : p. 10  A ∩ B...

In probability theory and statistics, a probability distribution is a function that gives the probabilities of occurrence of possible events for an experiment...

Pareto distribution, named after the Italian civil engineer, economist, and sociologist Vilfredo Pareto, is a power-law probability distribution that is...

expectation Conditional independence Conditional probability Conditional probability distribution Conditional random field Conditional variance Conditionality principle...

Many probability distributions that are important in theory or applications have been given specific names. The Bernoulli distribution, which takes value...

In probability theory and statistics, the Poisson distribution (/ˈpwɑːsɒn/) is a discrete probability distribution that expresses the probability of a...

This distribution is also known as the conditional Poisson distribution or the positive Poisson distribution. It is the conditional probability distribution...

In probability theory and statistics, a conditional variance is the variance of a random variable given the value(s) of one or more other variables. Particularly...

In probability theory and statistics, the Dirichlet-multinomial distribution is a family of discrete multivariate probability distributions on a finite...

In probability theory and statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued...

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

the joint distribution of random variables respectively, using conditional probabilities. This rule allows one to express a joint probability in terms...

mathematical notation, conditional probability is written P(A|B), and is read "the probability of A, given B". conditional probability distribution confidence interval...

formalized in probability theory by conditioning. Conditional probabilities, conditional expectations, and conditional probability distributions are treated...

In probability and statistics, memorylessness is a property of probability distributions. It describes situations where previous failures or elapsed time...

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

rule. Having found the conditional probability distribution of p given the data, one may then calculate the conditional probability, given the data, that...