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...

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

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

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

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

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...

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

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

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

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

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 normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued...

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 probability distribution is a function that gives the probabilities of occurrence of possible events for an experiment...

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

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

In probability theory and statistics, the exponential distribution or negative exponential distribution is the probability distribution of the distance...

automaton a stochastic kernel In statistics and probability theory, the conditional probability distribution function controlling the transitions of a stochastic...

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

In probability theory and statistics, the binomial distribution with parameters n and p is the discrete probability distribution of the number of successes...

the conditional median or some other quantile is used. Like all forms of regression analysis, linear regression focuses on the conditional probability distribution...

observed value, scoring rules assign such a score to a predicted probability distribution and an observed value. On the other hand, a scoring function provides...

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