- Bayesian information criterion
- Статистика: байесовский информационный критерий
Универсальный англо-русский словарь. Академик.ру. 2011.
Bayesian information criterion
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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
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
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
Akaike Information Criterion — Ein Informationskriterium ist ein Kriterium zur Auswahl eines Modells in der angewandten Statistik bzw. der Ökonometrie. Dabei gehen die Anpassungsgüte des geschätzten Modells an die vorliegenden empirischen Daten (Stichprobe) und Komplexität des … Deutsch Wikipedia
Akaike information criterion — Akaike s information criterion, developed by Hirotsugu Akaike under the name of an information criterion (AIC) in 1971 and proposed in Akaike (1974), is a measure of the goodness of fit of an estimated statistical model. It is grounded in the… … Wikipedia
Hannan-Quinn information criterion — Information criteria are often used as a guide in model selection (see forexample, Grasa 1989). The Kullback Leibler quantity of information contained in a model is the distance from the“true” model and is measured by the log likelihood function … Wikipedia
Deviance Information Criterion — In der Statistik ist das Abweichungsinformationskriterium (engl. deviance information criterion, DIC) ein Maß (Kriterium) für den Vorhersagefehler eines Modells. Diese Maßzahl ist ein Informationskriterium und gehört in das Umfeld der… … Deutsch Wikipedia
Bayesian probability — Bayesian statistics Theory Bayesian probability Probability interpretations Bayes theorem Bayes rule · Bayes factor Bayesian inference Bayesian network Prior · Posterior · Likelihood … 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 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
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
