- Bayesian chain
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Англо-русский словарь по вычислительной технике и информационным технологиям - 4-е изд.. Сергей Орлов .
Bayesian chain
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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 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 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
Bayesian Kepler periodogram — is an automatic instrument installed in Markov chain Monte Carlo observatory in British Columbia, Canada. It is designed to find more planets in single or multiple planetary systems. P.C. Gregory operates this instrument to find evidence for any… … 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
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
Markov chain Monte Carlo — MCMC redirects here. For the organization, see Malaysian Communications and Multimedia Commission. Markov chain Monte Carlo (MCMC) methods (which include random walk Monte Carlo methods) are a class of algorithms for sampling from probability… … Wikipedia
Variable-order Bayesian network — (VOBN) models provide an important extension of both the Bayesian network models and the variable order Markov models. VOBN models are used in machine learning in general and have shown great potential in bioinformatics applications.cite… … Wikipedia
Event chain methodology — project management. [Virine, L. and Trumper M., Project Decisions: The Art and Science (2007). Management Concepts. Vienna, VA, ISBN 978 1567262179 ] .Event chain methodology helps to mitigate effect motivational and cognitive biases in… … Wikipedia
Approximate Bayesian computation — (ABC) is a family of computational techniques in Bayesian statistics. These simulation techniques operate on summary data (such as population mean, or variance) to make broad inferences with less computation than might be required if all… … Wikipedia
