- Bayes estimation
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English-Russian dictionary of telecommunications and their abbreviations. A.V. Alexandrov.. 2004.
Bayes estimation
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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
Estimation theory — is a branch of statistics and signal processing that deals with estimating the values of parameters based on measured/empirical data. The parameters describe an underlying physical setting in such a way that the value of the parameters affects… … 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
estimation — /es teuh may sheuhn/, n. 1. judgment or opinion: In my estimation the boy is guilty. 2. esteem; respect. 3. approximate calculation; estimate: to make an estimation of one s expenditures. [1325 75; ME estimacioun < MF < L aestimation (s. of… … Universalium
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
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
Théorème de Bayes — Le théorème de Bayes est un résultat de base en théorie des probabilités, issu des travaux du révérend Thomas Bayes et retrouvé ensuite indépendamment par Laplace. Dans son unique article, Bayes cherchait à déterminer ce que l’on appellerait… … Wikipédia en Français
Maximum a posteriori estimation — In Bayesian statistics, a maximum a posteriori probability (MAP) estimate is a mode of the posterior distribution. The MAP can be used to obtain a point estimate of an unobserved quantity on the basis of empirical data. It is closely related to… … 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
Théorème de bayes — Le théorème de Bayes est un résultat de base en théorie des probabilités, issu des travaux du révérend Thomas Bayes et retrouvé ensuite indépendamment par Laplace. Dans son unique article, Bayes cherchait à déterminer ce que l’on appellerait… … Wikipédia en Français
point estimation — Statistics. the process of determining a single estimated value (point estimate) of a parameter of a given population. Cf. interval estimation. [1960 65] * * * ▪ statistics in statistics, the process of finding an approximate value of some… … Universalium
