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Sinopsis
A comprehensive account of the statistical theory of exponential families of stochastic processes. The book reviews the progress in the field made over the last ten years or so by the authors - two of the leading experts in the field - and several other researchers. The theory is applied to a broad spectrum of examples, covering a large number of frequently applied stochastic process models with discrete as well as continuous time. To make the reading even easier for statisticians with only a basic background in the theory of stochastic process, the first part of the book is based on classical theory of stochastic processes only, while stochastic calculus is used later. Most of the concepts and tools from stochastic calculus needed when working with inference for stochastic processes are introduced and explained without proof in an appendix. This appendix can also be used independently as an introduction to stochastic calculus for statisticians. Numerous exercises are also included.
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A comprehensive account of the statistical theory of exponential families of stochastic processes. The book reviews the progress in the field made over the last ten years or so by the authors - two of the leading experts in the field - and several other researchers. The theory is applied to a broad spectrum of examples, covering a large number of frequently applied stochastic process models with discrete as well as continuous time. To make the reading even easier for statisticians with only a basic background in the theory of stochastic process, the first part of the book is based on classical theory of stochastic processes only, while stochastic calculus is used later. Most of the concepts and tools from stochastic calculus needed when working with inference for stochastic processes are introduced and explained without proof in an appendix. This appendix can also be used independently as an introduction to stochastic calculus for statisticians. Numerous exercises are also included.
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Exponential Families of Stochastic Processes (Springer Series in Statistics)
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Springer (edition 1997), 1997
ISBN 10: 038794981X
ISBN 13: 9780387949819
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Hardcover. Condición: Good. 1997. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience. Nº de ref. del artículo: 038794981X-11-1
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Exponential Families of Stochastic Processes
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Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9780387949819. Nº de ref. del artículo: 8983234
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Exponential families of stochastic processes Uwe Küchler, Michael Sørensen. Springer series in statistics; Springer Series in Statistics.
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New York, Springer [1997]., 1997
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Hardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 60 KUE 9780387949819 Sprache: Englisch Gewicht in Gramm: 1150. Nº de ref. del artículo: 2508566
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Exponential Families of Stochastic Processes (Springer Series in Statistics).
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Springer-Verlag New York, Inc., 1997
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gebundene Ausgabe. Condición: Sehr gut. Zust: Gutes Exemplar. X, 332 Seiten, Englisch 608g. Nº de ref. del artículo: 493284
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Exponential Families of Stochastic Processes (Springer Series in Statistics)
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hardcover. Condición: New. In shrink wrap. Looks like an interesting title! Nº de ref. del artículo: Q-038794981X
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Exponential Families of Stochastic Processes
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Exponential Families of Stochastic Processes (Springer Series in Statistics)
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Exponential Families of Stochastic Processes (Springer Series in Statistics)
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Exponential Families of Stochastic Processes (Springer Series in Statistics)
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Exponential Families of Stochastic Processes
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Springer New York Jul 1997, 1997
ISBN 10: 038794981X
ISBN 13: 9780387949819
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This is author-approved bcc: This book provides a comprehensive account of the statistical theory of exponential families of stochastic processes. The book reviews the progress in the field made over the last ten years or so by the authors, two of the leading experts in the field, and several other researchers. The theory is applied to a broad spectrum of examples. A large number of frequently applied stochastic process models with discrete as well as with continuous time are covered by the theory developed in the book. The exponential families of stochastic processes are the most tractable type of statistical models for stochastic processes. On the other hand, they include models that are complex enough to exhibit basic inference problems that are peculiar to stochastic process models. Therefore they are a good starting point for the statistican who plans to work in this interesting and vigorous field. To make the reading easier for statisticians with only a basic background in the theory of stochastic process, the first part of the book is based on classical theory of stochastic processes only, while stochastic calculus is used late in the book. Most of the concepts and tools from stochastic calculus that a statistician is likely to need, when working with inference for stochastic processes, are introduced and explained without proof in an appendix. The appendix can also be used independently as an introduction to stochastic calculus for statisticians. The statistical concepts are explained carefully so that probabilists with only a basic backgroundin statistics can use the book to get into statistical inference for stochastic processes. Exercises are included to make the book useful for an advanced 336 pp. Englisch. Nº de ref. del artículo: 9780387949819
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