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...

In mathematics and computer science, the method of conditional probabilities is a systematic method for converting non-constructive probabilistic existence...

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

Bayes) gives a mathematical rule for inverting conditional probabilities, allowing one to find the probability of a cause given its effect. For example, if...

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

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

of events. Conditional probability is the probability of some event A, given the occurrence of some other event B. Conditional probability is written...

In probability theory, particularly information theory, the conditional mutual information is, in its most basic form, the expected value of the mutual...

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

mapping 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...

respectively, using conditional probabilities. This rule allows one to express a joint probability in terms of only conditional probabilities. The rule is notably...

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 dependence is a relationship between two or more events that are dependent when a third event occurs. For example,...

the joint probability function Pr ( G , S , R ) {\displaystyle \Pr(G,S,R)} and the conditional probabilities from the conditional probability tables (CPTs)...

Y Conditional probability, the probability of an event A given that another event B Conditional proof, in logic: a proof that asserts a conditional, and...

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

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

Intuitively, notice that by definition of expected value and of conditional probability, H ( Y | X ) {\displaystyle \displaystyle H(Y|X)} can be written...

Schmidhuber, the anthropic principle essentially just says that the conditional probability of finding yourself in a universe compatible with your existence...

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...

open by the host. Many probability text books and articles in the field of probability theory derive the conditional probability solution through a formal...

probability (so that the step can remain randomized) or one derandomizes the rounding step, typically using the method of conditional probabilities....

In probability theory, a martingale is a sequence of random variables (i.e., a stochastic process) for which, at a particular time, the conditional expectation...

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

of an observation x. A discriminative model is a model of the conditional probability P ( Y ∣ X = x ) {\displaystyle P(Y\mid X=x)} of the target Y, given...

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...

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