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1 Bayesian rule
1) Математика: байесово правило2) Контроль качества: правило Байеса, формула Байеса -
2 Bayesian rule
правило [формула] БайесаThe English-Russian dictionary on reliability and quality control > Bayesian rule
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3 Bayesian
бейесовский/байесовскийempirical Bayesian decision function эмпирическая бейесовская решающая функцияАнглийский-русский словарь по теории вероятностей, статистике и комбинаторике > Bayesian
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4 Bayes Decision Rule
т. вер. правило решений по Байесу (правило, определяющее, что стратегия, выбранная из всех доступных, должна обеспечивать наибольшие величины ожидаемых выплат; байесовский подход основан на принципе максимального использования имеющейся информации, ее непрерывного пересмотра и переоценки)See: -
5 Bayes' theorem
т. вер. формула [теорема\], [правило\] Байеса (одна из основных теорем элементарной теории вероятностей, позволяющая рассчитать апостериорную вероятность появления события; реформулирование исходной гипотезы по мере поступления новых данных)Syn: -
6 decision theory
иссл. опер. теория (принятия) решений (раздел исследования операций, который изучает математические правила принятия решений, основанные на анализе возможных альтернатив и последствий их принятия, в частности, в условиях неопределенности)See:
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 efficiency — addresses an appropriate economic definition of Pareto efficiency where there is incomplete information.Palfrey, Thomas R.; Srivastava, Sanjay; Postlewaite, A. (1993) [http://books.google.com/books?id=lZTls JJSxgC pg=PA14… … 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 game — In game theory, a Bayesian game is one in which information about characteristics of the other players (i.e. payoffs) is incomplete. Following John C. Harsanyi s framework, a Bayesian game can be modelled by introducing Nature as a player in a… … 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
Rule of succession — In probability theory, the rule of succession is a formula introduced in the 18th century by Pierre Simon Laplace in the course of treating the sunrise problem.The formula is still used, particularly to estimate underlying probabilities for… … Wikipedia
Bayesian statistics — Statistical theory, based on Bayes&’ decision rule, that outlines a framework for producing decisions based on relative payoffs of different outcomes. Used in genetic counselling … Dictionary of molecular biology
Admissible decision rule — In classical (frequentist) decision theory, an admissible decision rule is a rule for making a decision that is better than any other rule that may compete with it, in a specific sense defined below. Generally speaking, in most decision problems… … Wikipedia
Cromwell's rule — Cromwell s rule, named by statistician Dennis Lindley,[1] states that one should avoid using prior probabilities of 0 or 1, except when applied to statements that are logically true or false. (For instance, Lindley would allow us to say that Pr(2 … Wikipedia
Classification rule — See also: Statistical classification and Classification in machine learning Given a population whose members can be potentially separated into a number of different sets or classes, a classification rule is a procedure in which the elements… … Wikipedia
Chain rule (probability) — In probability theory, the chain rule permits the calculation of any member of the joint distribution of a set of random variables using only conditional probabilities. Consider an indexed set of sets . To find the value of this member of the… … Wikipedia
