bayesian criterion
11Kelly 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… …
12Akaike 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 …
13Akaike 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… …
14Hannan-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 …
15Optimality criterion — In statistics, an optimality criterion provides a measure of the fit of the data to a given hypothesis. The selection process is determined by the solution that optimizes the criteria used to evaluate the alternative hypotheses. The term has been …
16Deviance 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… …
17SBC — school based clinic; Schwarz bayesian criterion; serum bactericidal concentration; strict bed confinement …
18SBC — • school based clinic; • Schwarz bayesian criterion; • serum bactericidal concentration; • strict bed confinement …
19Credible interval — Bayesian statistics Theory Bayesian probability Probability interpretations Bayes theorem Bayes rule · Bayes factor Bayesian inference Bayesian network Prior · Posterior · Likelihood …
20Prior probability — Bayesian statistics Theory Bayesian probability Probability interpretations Bayes theorem Bayes rule · Bayes factor Bayesian inference Bayesian network Prior · Posterior · Likelihood …
