Gaussian process: Stochastic process, Linear combination, Sampling (statistics), Normal distribution, Functional (mathematics), Random variable, Wiener process - Softcover
Synopsis
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In the mathematical theory of probability, a Gaussian process is a stochastic process {Xt}t ∈T for which any finite linear combination of samples will be normally distributed (or, more generally, any linear functional applied to the sample function Xt will give a normally distributed result). Some authors[1] also assume the random variables Xt have mean zero.
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In the mathematical theory of probability, a Gaussian process is a stochastic process {Xt}t ∈T for which any finite linear combination of samples will be normally distributed (or, more generally, any linear functional applied to the sample function Xt will give a normally distributed result). Some authors[1] also assume the random variables Xt have mean zero.
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. In themathematical theory of probability, a Gaussian process is a stochasticprocess {Xt}t ¿T for which any finite linear combination of samples willbe normally distributed (or, more generally, any linear functionalapplied to the sample function Xt will give a normally distributedresult). Some authors[1] also assume the random variables Xt have meanzero.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch. Seller Inventory # 9786133733343
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Gaussian process : Stochastic process, Linear combination, Sampling (statistics), Normal distribution, Functional (mathematics), Random variable, Wiener process
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