unobservable
31Multiverse — For other uses, see Multiverse (disambiguation). Physical cosmology …
32Statistic — A statistic (singular) is the result of applying a function (statistical algorithm) to a set of data. More formally, statistical theory defines a statistic as a function of a sample where the function itself is independent of the sample s… …
33String theory — This article is about the branch of theoretical physics. For other uses, see String theory (disambiguation). String theory …
34Willard Van Orman Quine — Unreferenced|date=August 2007 Infobox Philosopher region = Western Philosophy era = 20th century philosophy color = #B0C4DE image caption = Willard Van Orman Quine name = Willard Van Orman Quine birth = birth date|mf=yes|1908|6|25 death = death… …
35Gauss–Markov theorem — This article is not about Gauss–Markov processes. In statistics, the Gauss–Markov theorem, named after Carl Friedrich Gauss and Andrey Markov, states that in a linear model in which the errors have expectation zero and are uncorrelated and have… …
36De Finetti's theorem — In probability theory, de Finetti s theorem explains why exchangeable observations are conditionally independent given some (usually) unobservable quantity to which an epistemic probability distribution would then be assigned. It is named in… …
37Expectation-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… …
38Prediction interval — In statistics, a prediction interval bears the same relationship to a future observation that a confidence interval bears to an unobservable population parameter. Prediction intervals predict the distribution of individual points, whereas… …
39Density estimation — In probability and statistics, density estimation is the construction of an estimate, based on observed data, of an unobservable underlying probability density function. The unobservable density function is thought of as the density according to… …
40Empirical 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… …
