# conditional distribution

__Stats__the probability distribution of a random variable while the values of one or more random variables are fixed

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**Conditional probability distribution**— Given two jointly distributed random variables X and Y, the conditional probability distribution of Y given X is the probability distribution of Y when X is known to be a particular value. If the conditional distribution of Y given X is a… … Wikipedia**Conditional variance**— In probability theory and statistics, a conditional variance is the variance of a conditional probability distribution. Particularly in econometrics, the conditional variance is also known as the scedastic function or skedastic function.… … Wikipedia**Conditional random field**— A conditional random field (CRF) is a statistical modelling method often applied in pattern recognition. More specifically it is a type of discriminative undirected probabilistic graphical model. It is used to encode known relationships between… … Wikipedia**Conditional probability**— The actual probability of an event A may in many circumstances differ from its original probability, because new information is available, in particular the information that an other event B has occurred. Intuition prescribes that the still… … Wikipedia**Conditional independence**— These are two examples illustrating conditional independence. Each cell represents a possible outcome. The events R, B and Y are represented by the areas shaded red, blue and yellow respectively. And the probabilities of these events are shaded… … Wikipedia**Conditional mutual information**— In probability theory, and in particular, information theory, the conditional mutual information is, in its most basic form, the expected value of the mutual information of two random variables given the value of a third. Contents 1 Definition 2… … Wikipedia**Conditional expectation**— In probability theory, a conditional expectation (also known as conditional expected value or conditional mean) is the expected value of a real random variable with respect to a conditional probability distribution. The concept of conditional… … Wikipedia**Conditional entropy**— Individual (H(X),H(Y)), joint (H(X,Y)), and conditional entropies for a pair of correlated subsystems X,Y with mutual information I(X; Y). In information theory, the conditional entropy (or equivocation) quantifies the remaining entropy (i.e.… … Wikipedia**conditional**— I. adjective Date: 14th century 1. subject to, implying, or dependent upon a condition < a conditional promise > 2. expressing, containing, or implying a supposition < the conditional clause if he speaks > 3. a. true only for certain values of… … New Collegiate Dictionary**Conditional Value At Risk - CVaR**— A risk assessment technique often used to reduce the probability a portfolio will incur large losses. This is performed by assessing the likelihood (at a specific confidence level) that a specific loss will exceed the value at risk.… … Investment dictionary