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Stochastic Evolution Systems: Linear Theory and Applications to Non-Linear Filtering (Probability Theory and Stochastic Modelling, 89) - Hardcover
Synopsis
This monograph, now in a thoroughly revised second edition, develops the theory of stochastic calculus in Hilbert spaces and applies the results to the study of generalized solutions of stochastic parabolic equations.
The emphasis lies on second-order stochastic parabolic equations and their connection to random dynamical systems. The authors further explore applications to the theory of optimal non-linear filtering, prediction, and smoothing of partially observed diffusion processes. The new edition now also includes a chapter on chaos expansion for linear stochastic evolution systems.
This book will appeal to anyone working in disciplines that require tools from stochastic analysis and PDEs, including pure mathematics, financial mathematics, engineering and physics.
"synopsis" may belong to another edition of this title.
About the Author
Boris Rozovsky earned a Master’s degree in Probability and Statistics, followed by a PhD in Physical and Mathematical Sciences, both from the Moscow State (Lomonosov) University. He was Professor of Mathematics and Director of the Center for Applied Mathematical Sciences at the University of Southern California. Currently, he is the Ford Foundation Professor of Applied Mathematics at Brown University.
Sergey Lototsky earned a Master’s degree in Physics in 1992 from the Moscow Institute of Physics and Technology, followed by a PhD in Applied Mathematics in 1996 from the University of Southern California. After a year-long post-doc at the Institute for Mathematics and its Applications and a three-year term as a Moore Instructor at MIT, he returned to the department of Mathematics at USC as a faculty member in 2000. He specializes in stochastic analysis, with emphasis on stochastic differential equation. He supervised more than 10 PhD students and had visiting positions at the Mittag-Leffler Institute in Sweden and at several universities in Israel and Italy.
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- PublisherSpringer
- Publication date2018
- ISBN 10 331994892X
- ISBN 13 9783319948928
- BindingHardcover
- LanguageEnglish
- Edition number2
- Number of pages346
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Stochastic Evolution Systems. Linear Theory and Applications to Non-Linear Filtering.
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2nd Edition. xvi, 330 p. Hardcover. 2nd Edition. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. Seller Inventory # 3081MB
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Stochastic Evolution Systems: Linear Theory and Applications to Non-Linear Filtering (Probability Theory and Stochastic Modelling, 89)
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Stochastic Evolution Systems
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ISBN 10: 331994892X
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This monograph, now in a thoroughly revised second edition, develops the theory of stochastic calculus in Hilbert spaces and applies the results to the study of generalized solutions of stochastic parabolic equations.The emphasis lies on second-order stochastic parabolic equations and their connection to random dynamical systems. The authors further explore applications to the theory of optimal non-linear filtering, prediction, and smoothing of partially observed diffusion processes. The new edition now also includes a chapter on chaos expansion for linear stochastic evolution systems.This book will appeal to anyone working in disciplines that require tools from stochastic analysis and PDEs, including pure mathematics, financial mathematics, engineering and physics. 348 pp. Englisch. Seller Inventory # 9783319948928
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Stochastic Evolution Systems : Linear Theory and Applications to Non-Linear Filtering
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This monograph, now in a thoroughly revised second edition, develops the theory of stochastic calculus in Hilbert spaces and applies the results to the study of generalized solutions of stochastic parabolic equations.The emphasis lies on second-order stochastic parabolic equations and their connection to random dynamical systems. The authors further explore applications to the theory of optimal non-linear filtering, prediction, and smoothing of partially observed diffusion processes. The new edition now also includes a chapter on chaos expansion for linear stochastic evolution systems.This book will appeal to anyone working in disciplines that require tools from stochastic analysis and PDEs, including pure mathematics, financial mathematics, engineering and physics. Seller Inventory # 9783319948928
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Stochastic Evolution Systems: Linear Theory and Applications to Non-Linear Filtering (Probability Theory and Stochastic Modelling, 89)
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Stochastic Evolution Systems
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a self-contained development of the theory of generalized solutions of stochastic parabolic equationsExplores equations of optimal non-linear filtering, interpolation, and extrapolation of diffusion processes in detailEstablishes v. Seller Inventory # 228331639
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