**Bayesian search theory** — is the application of Bayesian statistics to the search for lost objects. It has been used several times to find lost sea vessels, for example the USS Scorpion . The usual procedure is as follows:# Formulate a number of hypotheses about what… … 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 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 poisoning** — is a technique used by spammers to attempt to degrade the effectiveness of spam filters that rely on bayesian spam filtering. Bayesian filtering relies on Bayesian probability to determine whether an incoming mail is spam or is not spam ( ham , i … 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 inference in phylogeny** — generates a posterior distribution for a parameter, composed of a phylogenetic tree and a model of evolution, based on the prior for that parameter and the likelihood of the data, generated by a multiple alignment. The Bayesian approach has… … Wikipedia

**Bayesian filtering** — may refer to:* Bayesian spam filtering, a method to detect spam. * Sequential bayesian filtering, a method to estimate the state of a system evolving in time … Wikipedia

**Bayesian Filtering Library** — (BFL) is an open source C++ library for recursive Bayesian estimation. The library is mainly written by the Belgian scientist Klaas Gadeyne, and runs on Linux, Mac OS X, and Microsoft Windows. Features * Kalman filtering * Particle filters *… … Wikipedia

**Bayesian additive regression kernels** — (BARK) is a non parametric statistics model for regression and classificationcite web| title= Bayesian Additive Regression Kernels |url= http://stat.duke.edu/people/theses/OuyangZ.html |Author = Zhi Ouyang |Publisher = Duke University] . The… … Wikipedia