conditional variable
1Variable-order Markov model — Variable order Markov (VOM) models are an important class of models that extend the well known Markov chain models. In contrast to the Markov chain models, where each random variable in a sequence with a Markov property depends on a fixed number… …
2Conditional budgeting — is a budgeting approach designed for companies with fluctuating income, high fixed costs, or income depending on sunk costs, as well as NPOs and NGOs. The approach builds on the strengths of proven budgeting approaches, leverages the respective… …
3Conditional (programming) — Conditional statement redirects here. For the general concept in logic, see Material conditional. In computer science, conditional statements, conditional expressions and conditional constructs are features of a programming language which perform …
4Variable Data Intelligent Postscript Printware — (FreeFlow VI Suite (VIPP)) is an open language from Xerox that enables highest performance output of personalized (variable data) PostScript documents [http://vippsupport.xerox.com/eve VIPP Support Forum] VIPP was originally called XGF and it is… …
5Conditional 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… …
6Conditional 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… …
7Conditional 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.… …
8Conditional 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… …
9Conditional 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… …
10Conditional 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.… …
