Bayesian

Philosophy dictionary. . 2011.

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  • 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 — bayes·ian (baґze ən) named for Thomas Bayes, as bayesian statistics …   Medical dictionary

  • Bayesian — adjective Date: 1956 being, relating to, or involving statistical methods that assign probabilities or distributions to events (as rain tomorrow) or parameters (as a population mean) based on experience or best guesses before experimentation and… …   New Collegiate Dictionary

  • Bayesian — /bay zee euhn, zheuhn/, adj. Statistics. of or pertaining to statistical methods that regard parameters of a population as random variables having known probability distributions. [1960 65; Thomas Bayes (1702 61), English mathematician + IAN] * * …   Universalium

  • Bayesian — adjective Of or pertaining to , English mathematician …   Wiktionary

  • bayesian — bayes·ian …   English syllables

  • Bayesian — adjective of or relating to statistical methods based on Bayes theorem • Pertains to noun: ↑Bayes theorem …   Useful english dictionary

  • Bayesian probability — Bayesian statistics Theory Bayesian probability Probability interpretations Bayes theorem Bayes rule · Bayes factor Bayesian inference Bayesian network Prior · Posterior · Likelihood …   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 spam filtering — (pronounced BAYS ee ən, IPA pronunciation: IPA| [ beɪz.i.ən] , after Rev. Thomas Bayes), a form of e mail filtering, is the process of using a naive Bayes classifier to identify spam e mail.The first known mail filtering program to use a Bayes… …   Wikipedia

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