- Bayesian approach
- биом. байесовское приближение
English-russian biological dictionary. 2013.
English-russian biological dictionary. 2013.
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
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 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
Bayesian-Filter — Der bayessche Filter (auch als bayesischer Filter bezeichnet) ist ein statistischer Filter, der auf dem bayesschen Wahrscheinlichkeitsbegriff aufbaut. Sein Name leitet sich vom englischen Mathematiker Thomas Bayes (etwa 1702−1761) ab. Markow… … Deutsch Wikipedia
Bayesian Filter — Der bayessche Filter (auch als bayesischer Filter bezeichnet) ist ein statistischer Filter, der auf dem bayesschen Wahrscheinlichkeitsbegriff aufbaut. Sein Name leitet sich vom englischen Mathematiker Thomas Bayes (etwa 1702−1761) ab. Markow… … Deutsch 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 linear regression — In statistics, Bayesian linear regression is a Bayesian alternative to the more well known ordinary least squares linear regression.Consider standard linear regression problem, where we specify the conditional density of y, given x, predictor… … 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 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