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Gaussian process: Stochastic process, Linear combination, Sampling (statistics), Normal distribution, Functional (mathematics), Random variable, Wiener process -

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2026-04-11
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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 distribut ... Pilns apraksts

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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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Izdevējs OmniScriptum
Izlaides gads 2026
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EAN 9786133733343
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137,01 € 195,73 €