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# a posteriori probability estimation

оценивание по максимуму апостериорной вероятности

Англо-русский словарь по компьютерной безопасности. . 2011.

### Смотреть что такое "a posteriori probability estimation" в других словарях:

• 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

• 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

• Maximum likelihood sequence estimation — (MLSE) is a mathematical algorithm to extract useful data out of a noisy data stream. Contents 1 Theory 2 Background 3 References 4 Further reading …   Wikipedia

• Maximum a posteriori — In statistics, the method of maximum a posteriori (MAP, or posterior mode) estimation can be used to obtain a point estimate of an unobserved quantity on the basis of empirical data. It is closely related to Fisher s method of maximum likelihood… …   Wikipedia

• Point estimation — In statistics, point estimation involves the use of sample data to calculate a single value (known as a statistic) which is to serve as a best guess for an unknown (fixed or random) population parameter.More formally, it is the application of a… …   Wikipedia

• оценка по методу максимальной апостериорной вероятности — — [[http://www.rfcmd.ru/glossword/1.8/index.php?a=index d=23]] Тематики защита информации EN maximum a posteriori probability estimation …   Справочник технического переводчика

• Kalman filter — Roles of the variables in the Kalman filter. (Larger image here) In statistics, the Kalman filter is a mathematical method named after Rudolf E. Kálmán. Its purpose is to use measurements observed over time, containing noise (random variations)… …   Wikipedia

• Monte Carlo method — Not to be confused with Monte Carlo algorithm. Computational physics …   Wikipedia

• Multinomial logit — In statistics, economics, and genetics, a multinomial logit (MNL) model, also known as multinomial logistic regression, is a regression model which generalizes logistic regression by allowing more than two discrete outcomes. That is, it is a… …   Wikipedia

• Variable régionalisée — La VR comme phénomène physique : topographie de la ville de Binche …   Wikipédia en Français

• Expectation-maximization algorithm — An expectation maximization (EM) algorithm is used in statistics for finding maximum likelihood estimates of parameters in probabilistic models, where the model depends on unobserved latent variables. EM alternates between performing an… …   Wikipedia

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