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Stochastic Processes: General Theory / by Malempati M. Rao
(Mathematics and Its Applications ; 342)

1st ed. 1995.
出版者 New York, NY : Springer US : Imprint: Springer
出版年 1995
本文言語 英語
大きさ XII, 628 p : online resource
冊子体 Stochastic processes : general theory / by M.M. Rao. ; v. 342
著者標目 *Rao, Malempati M author
SpringerLink (Online service)
件 名 LCSH:Probabilities
LCSH:Special functions
LCSH:Differential equations
LCSH:Statistics 
FREE:Probability Theory
FREE:Special Functions
FREE:Differential Equations
FREE:Statistics
一般注記 I: Introduction and foundations -- II: Conditioning and martingales -- III: Stochastic function theory -- IV: Refinements in martingale analysis -- V: Martingale decompositions and integration -- VI: Stochastic integrals and differential systems -- VII: Stochastic analysis on differential structures -- Notation index -- Author index
Stochastic Processes: General Theory starts with the fundamental existence theorem of Kolmogorov, together with several of its extensions to stochastic processes. It treats the function theoretical aspects of processes and includes an extended account of martingales and their generalizations. Various compositions of (quasi- or semi-)martingales and their integrals are given. Here the Bochner boundedness principle plays a unifying role: a unique feature of the book. Applications to higher order stochastic differential equations and their special features are presented in detail. Stochastic processes in a manifold and multiparameter stochastic analysis are also discussed. Each of the seven chapters includes complements, exercises and extensive references: many avenues of research are suggested. The book is a completely revised and enlarged version of the author's Stochastic Processes and Integration (Noordhoff, 1979). The new title reflects the content and generality of the extensive amount of new material. Audience: Suitable as a text/reference for second year graduate classes and seminars. A knowledge of real analysis, including Lebesgue integration, is a prerequisite
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データ種別 電子ブック
分 類 LCC:QA273.A1-274.9
DC23:519.2
書誌ID 4000107182
ISBN 9781475765984

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