posterior estimate

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• Beta-binomial model — In empirical Bayes methods, the Beta binomial model is an analytic model where the likelihood function L(x| heta) is specifed by a binomial distribution:L(x| heta) = operatorname{Bin}(x, heta),::: = {nchoose x} heta^x(1 heta)^{n x},and the… …   Wikipedia

• Computer-adaptive testing — A computer adaptive testing (CAT) is a method for administering tests that adapts to the examinee s ability level. For this reason, it has also been called tailored testing . How CAT worksCAT successively selects questions so as to maximize the… …   Wikipedia

• Computerized adaptive testing — (CAT) is a form of computer based test that adapts to the examinee s ability level. For this reason, it has also been called tailored testing. Contents 1 How CAT works 2 Advantages 3 Disadvantages …   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

• 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 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

• 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

• statistics — /steuh tis tiks/, n. 1. (used with a sing. v.) the science that deals with the collection, classification, analysis, and interpretation of numerical facts or data, and that, by use of mathematical theories of probability, imposes order and… …   Universalium

• 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

• Doomsday argument — World population from 10,000 BC to AD 2000 The Doomsday argument (DA) is a probabilistic argument that claims to predict the number of future members of the human species given only an estimate of the total number of humans born so far. Simply… …   Wikipedia

• Bayesian linear regression — In statistics, Bayesian linear regression is a Bayesian alternative to the more well known ordinary least squares linear regression.Consider standard linear regression problem, where we specify the conditional density of y, given x, predictor… …   Wikipedia