- marginal likelihood
- мат. маргинальное правдоподобие
Большой англо-русский и русско-английский словарь. 2001.
marginal likelihood
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Marginal likelihood — In statistics, a marginal likelihood function, or integrated likelihood, is a likelihood function in which some parameter variables have been marginalised. It may also be referred to as evidence, but this usage is somewhat idiosyncratic. Given a… … Wikipedia
Likelihood function — In statistics, a likelihood function (often simply the likelihood) is a function of the parameters of a statistical model, defined as follows: the likelihood of a set of parameter values given some observed outcomes is equal to the probability of … Wikipedia
Marginal model — In statistics, marginal models (Heagerty Zeger, 2000) are a technique for obtaining regression estimates in multilevel modeling, also called hierarchical linear models. People often want to know the effect of a predictor/explanatory variable X,… … Wikipedia
Quasi-maximum likelihood — A quasi maximum likelihood estimate (QMLE, also known as a pseudo likelihood estimate or a composite likelihood estimate ) is an estimate of a parameter θ in a statistical model that is formed by maximizing a function that is related to the… … Wikipedia
List of statistics topics — Please add any Wikipedia articles related to statistics that are not already on this list.The Related changes link in the margin of this page (below search) leads to a list of the most recent changes to the articles listed below. To see the most… … Wikipedia
Bayes factor — In statistics, the use of Bayes factors is a Bayesian alternative to classical hypothesis testing.cite journal | author = Goodman S | title = Toward evidence based medical statistics. 1: The P value fallacy | journal = Ann Intern Med | volume =… … Wikipedia
List of mathematics articles (M) — NOTOC M M estimator M group M matrix M separation M set M. C. Escher s legacy M. Riesz extension theorem M/M/1 model Maass wave form Mac Lane s planarity criterion Macaulay brackets Macbeath surface MacCormack method Macdonald polynomial Machin… … Wikipedia
Minimum description length — The minimum description length (MDL) principle is a formalization of Occam s Razor in which the best hypothesis for a given set of data is the one that leads to the best compression of the data. MDL was introduced by Jorma Rissanen in 1978. It is … Wikipedia
Evidence (disambiguation) — Evidence may refer to:*Evidence, a scientific and philosophical concept *Evidence (law), which governs testimony and exhibits presented in a case * Evidence (short story) (1946), a short story by Isaac Asimov *Evidence (artist), Rapper/Producer,… … Wikipedia
Variational Bayesian methods — Variational Bayesian methods, also called ensemble learning, are a family of techniques for approximating intractable integrals arising in Bayesian statistics and machine learning. They can be used to lower bound the marginal likelihood (i.e.… … Wikipedia
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
