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1 байесовский критерий
1) Mathematics: Bayesian criterion, Bayesian test2) Quality control: Bayes testУниверсальный русско-английский словарь > байесовский критерий
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2 байесов критерий Шварца
Русско-английский словарь по электронике > байесов критерий Шварца
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3 байесов критерий Шварца
Русско-английский словарь по радиоэлектронике > байесов критерий Шварца
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4 байесовский информационный критерий
Универсальный русско-английский словарь > байесовский информационный критерий
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5 байесовский информационный критерий Шварца
Statistics: Schwartz Bayesian information criterion (он же называется байесовским критерием Шварца или просто критерием Байеса-Шварца)Универсальный русско-английский словарь > байесовский информационный критерий Шварца
См. также в других словарях:
Bayesian probability — Bayesian statistics Theory Bayesian probability Probability interpretations Bayes theorem Bayes rule · Bayes factor Bayesian inference Bayesian network Prior · Posterior · Likelihood … Wikipedia
Bayesian experimental design — provides a general probability theoretical framework from which other theories on experimental design can be derived. It is based on Bayesian inference to interpret the observations/data acquired during the experiment. This allows accounting for… … Wikipedia
Bayesian inference — is statistical inference in which evidence or observations are used to update or to newly infer the probability that a hypothesis may be true. The name Bayesian comes from the frequent use of Bayes theorem in the inference process. Bayes theorem… … Wikipedia
Bayesian — refers to methods in probability and statistics named after the Reverend Thomas Bayes (ca. 1702 ndash;1761), in particular methods related to: * the degree of belief interpretation of probability, as opposed to frequency or proportion or… … Wikipedia
Bayesian information criterion — In statistics, in order to describe a particular dataset, one can use non parametric methods or parametric methods. In parametric methods, there might be various candidate models with different number of parameters to represent a dataset. The… … Wikipedia
Bayesian network — A Bayesian network, Bayes network, belief network or directed acyclic graphical model is a probabilistic graphical model that represents a set of random variables and their conditional dependencies via a directed acyclic graph (DAG). For example … Wikipedia
Bayesian model comparison — A common problem in statistical inference is to use data to decide between two or more competing models. Frequentist statistics uses hypothesis tests for this purpose. There are several Bayesian approaches. One approach is through Bayes… … Wikipedia
Deviance information criterion — The deviance information criterion (DIC) is a hierarchical modeling generalization of the AIC (Akaike information criterion) and BIC (Bayesian information criterion, also known as the Schwarz criterion). It is particularly useful in Bayesian… … Wikipedia
Information criterion — may refer to: *Akaike information criterion, a measure of the goodness fit of an estimated statistical model *Bayesian information criterion also known as the Schwarz information criterion, a statistical criterion for model selection *Hannan… … Wikipedia
The Intuitive Criterion — DefinitionThe Intuitive Criterion, first described in 1987 Cho and Kreps article, is a refinement of the solution concept that allows the modeller to choose between multiple perfect Bayesian equilibria.Formally, we can eliminate a particular… … Wikipedia
Kelly criterion — In probability theory, the Kelly criterion, or Kelly strategy or Kelly formula, or Kelly bet, is a formula used to determine to optimal size of a series of bets. Under some simplifying assumptions, the Kelly strategy will do better than any… … Wikipedia