approximate sampling

  • 1Gibbs sampling — In statistics and in statistical physics, Gibbs sampling or a Gibbs sampler is an algorithm to generate a sequence of samples from the joint probability distribution of two or more random variables. The purpose of such a sequence is to… …

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  • 2Nested sampling algorithm — The nested sampling algorithm is a computational approach to the problem of comparing models in Bayesian statistics, developed in 2004 by physicist John Skilling.[1] Contents 1 Background 2 Applications 3 …

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  • 3William Kruskal — William Henry Kruskal (October 10, 1919 – April 21, 2005) was an American mathematician and statistician. He is best known for having formulated the Kruskal Wallis one way analysis of variance (together with W. Allen Wallis), a widely used… …

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  • 4William Kruskal — William Henry Kruskal (* 10. Oktober 1919 in New York City; † 21. April 2005 in Chicago) war ein US amerikanischer Mathematiker und Statistiker. Kruskal wurde 1919 in New York City geboren. Seine Mutter war Lillian Rose Vorhaus Kruskal… …

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  • 5Monte Carlo method — Not to be confused with Monte Carlo algorithm. Computational physics …

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  • 6analysis — /euh nal euh sis/, n., pl. analyses / seez /. 1. the separating of any material or abstract entity into its constituent elements (opposed to synthesis). 2. this process as a method of studying the nature of something or of determining its… …

    Universalium

  • 7Confidence interval — This article is about the confidence interval. For Confidence distribution, see Confidence Distribution. In statistics, a confidence interval (CI) is a particular kind of interval estimate of a population parameter and is used to indicate the… …

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  • 8Statistical inference — In statistics, statistical inference is the process of drawing conclusions from data that are subject to random variation, for example, observational errors or sampling variation.[1] More substantially, the terms statistical inference,… …

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  • 9Orders of magnitude (data) — Computer memory types can be ordered into a magnitude hierarchy: memory at the top is fastest to access but holds little data, while each lower type holds more, but is slower to access An order of magnitude is generally a factor of ten. A… …

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  • 10List of numerical analysis topics — This is a list of numerical analysis topics, by Wikipedia page. Contents 1 General 2 Error 3 Elementary and special functions 4 Numerical linear algebra …

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