- Bayes method
- Контроль качества: байесовский метод
Универсальный англо-русский словарь. Академик.ру. 2011.
Bayes method
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Empirical Bayes method — In statistics, empirical Bayes methods are a class of methods which use empirical data to evaluate / approximate the conditional probability distributions that arise from Bayes theorem. These methods allow one to estimate quantities… … Wikipedia
Bayes' theorem — In probability theory, Bayes theorem (often called Bayes law after Thomas Bayes) relates the conditional and marginal probabilities of two random events. It is often used to compute posterior probabilities given observations. For example, a… … Wikipedia
Bayes estimator — In decision theory and estimation theory, a Bayes estimator is an estimator or decision rule that maximizes the posterior expected value of a utility function or minimizes the posterior expected value of a loss function (also called posterior… … Wikipedia
Bayes|i|an — «BAY zee uhn», adjective. of or having to do with a statistical theory or method by which probabilities can be reassessed or revised in the light of new information. ╂[< Thomas Bayes, 1702 1761, an English mathematician] … Useful english dictionary
Bayes, Thomas — ▪ English theologian and mathematician born 1702, London, England died April 17, 1761, Tunbridge Wells, Kent English Nonconformist theologian and mathematician who was the first to use probability (probability theory) inductively and who… … Universalium
Method of moments (statistics) — See method of moments (probability theory) for an account of a technique for proving convergence in distribution. In statistics, the method of moments is a method of estimation of population parameters such as mean, variance, median, etc. (which… … Wikipedia
Bayes' theorem — /beɪz ˈθɪərəm/ (say bayz thearruhm) noun Statistics a method of measuring the degree of belief that can be attached to a proposition, based on the relevance of ascertainable facts. Also, Bayes law. {named posthumously after Thomas Bayes, 1701–61 …
Hierarchical Bayes model — The hierarchical Bayes method is one of the most important topics in modern Bayesian analysis. It is a powerful tool for expressing rich statistical models that more fully reflect a given problem than a simpler model could. Given data x,! and… … Wikipedia
Naive Bayes classifier — A naive Bayes classifier is a simple probabilistic classifier based on applying Bayes theorem with strong (naive) independence assumptions. A more descriptive term for the underlying probability model would be independent feature model . In… … Wikipedia
Monte Carlo method — Not to be confused with Monte Carlo algorithm. Computational physics … Wikipedia
Information bottleneck method — The information bottleneck method is a technique introduced by Tishby et al [1] for finding the best tradeoff between accuracy and complexity (compression) when summarizing (e.g. clustering) a random variable X, given a joint probability… … Wikipedia
