Published by Springer, 2012
ISBN 10: 3642249388 ISBN 13: 9783642249389
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Published by Springer, 2012
ISBN 10: 3642249388 ISBN 13: 9783642249389
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Published by Springer, 2012
ISBN 10: 3642249388 ISBN 13: 9783642249389
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Published by Springer 2012-01, 2012
ISBN 10: 3642249388 ISBN 13: 9783642249389
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Published by Springer, 2012
ISBN 10: 3642249388 ISBN 13: 9783642249389
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Published by Springer, 2012
ISBN 10: 3642249388 ISBN 13: 9783642249389
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Published by Springer, 2012
ISBN 10: 3642249388 ISBN 13: 9783642249389
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Published by Springer, 2012
ISBN 10: 3642249388 ISBN 13: 9783642249389
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Published by Springer, 2012
ISBN 10: 3642249388 ISBN 13: 9783642249389
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Published by Springer, 2012
ISBN 10: 3642249388 ISBN 13: 9783642249389
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Published by Springer Berlin Heidelberg Jan 2012, 2012
ISBN 10: 3642249388 ISBN 13: 9783642249389
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Gaussian processes can be viewed as a far-reaching infinite-dimensional extension of classical normal random variables. Their theory presents a powerful range of tools for probabilistic modelling in various academic and technical domains such as Statistics, Forecasting, Finance, Information Transmission, Machine Learning - to mention just a few. The objective of these Briefs is to present a quick and condensed treatment of the core theory that a reader must understand in order to make his own independent contributions. The primary intended readership are PhD/Masters students and researchers working in pure or applied mathematics. The first chapters introduce essentials of the classical theory of Gaussian processes and measures with the core notions of reproducing kernel, integral representation, isoperimetric property, large deviation principle. The brevity being a priority for teaching and learning purposes, certain technical details and proofs are omitted. The later chapters touch important recent issues not sufficiently reflected in the literature, such as small deviations, expansions, and quantization of processes. In university teaching, one can build a one-semester advanced course upon these Briefs. 132 pp. Englisch.
Published by Springer Verlag, 2012
ISBN 10: 3642249388 ISBN 13: 9783642249389
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Published by Springer Berlin Heidelberg, 2012
ISBN 10: 3642249388 ISBN 13: 9783642249389
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Gaussian processes can be viewed as a far-reaching infinite-dimensional extension of classical normal random variables. Their theory presents a powerful range of tools for probabilistic modelling in various academic and technical domains such as Statistics, Forecasting, Finance, Information Transmission, Machine Learning - to mention just a few. The objective of these Briefs is to present a quick and condensed treatment of the core theory that a reader must understand in order to make his own independent contributions. The primary intended readership are PhD/Masters students and researchers working in pure or applied mathematics. The first chapters introduce essentials of the classical theory of Gaussian processes and measures with the core notions of reproducing kernel, integral representation, isoperimetric property, large deviation principle. The brevity being a priority for teaching and learning purposes, certain technical details and proofs are omitted. The later chapters touch important recent issues not sufficiently reflected in the literature, such as small deviations, expansions, and quantization of processes. In university teaching, one can build a one-semester advanced course upon these Briefs.
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2012
ISBN 10: 3642249388 ISBN 13: 9783642249389
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Condition: New. Series: SpringerBriefs in Mathematics. Num Pages: 131 pages, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 7. Weight in Grams: 213. . 2012. 2012. Paperback. . . . .
Published by Springer Berlin Heidelberg, 2012
ISBN 10: 3642249388 ISBN 13: 9783642249389
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Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2012
ISBN 10: 3642249388 ISBN 13: 9783642249389
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Condition: New. Series: SpringerBriefs in Mathematics. Num Pages: 131 pages, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 7. Weight in Grams: 213. . 2012. 2012. Paperback. . . . . Books ship from the US and Ireland.
Published by Springer, 2012
ISBN 10: 3642249388 ISBN 13: 9783642249389
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Published by Springer, 2012
ISBN 10: 3642249388 ISBN 13: 9783642249389
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Published by Springer, 2012
ISBN 10: 3642249388 ISBN 13: 9783642249389
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