Title: Gaussian process : Stochastic process, Linear combination, Sampling (statistics), Normal distribution, Functional (mathematics), Random variable, Wiener process
Publisher: Omniscriptum
Publication Date: 2010
Language: English
ISBN 10: 6133733349
ISBN 13: 9786133733343
Binding: Taschenbuch
Condition: Neu
Dimensions: 220 millimeters width by 150 millimeters height by 5 millimeters depth
Weight: 137 grams

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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 �ˆˆT 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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