Theory and Applications of Stochastic Processes: An Analytical Approach

Author:   Zeev Schuss
Publisher:   Springer-Verlag New York Inc.
Edition:   2010 ed.
Volume:   170
ISBN:  

9781441916044


Pages:   468
Publication Date:   21 December 2009
Format:   Hardback
Availability:   In Print   Availability explained
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Theory and Applications of Stochastic Processes: An Analytical Approach


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Overview

Stochastic processes and diffusion theory are the mathematical underpinnings of many scientific disciplines, including statistical physics, physical chemistry, molecular biophysics, communications theory and many more. Many books, reviews and research articles have been published on this topic, from the purely mathematical to the most practical. This book offers an analytical approach to stochastic processes that are most common in the physical and life sciences, as well as in optimal control and in the theory of filltering of signals from noisy measurements. Its aim is to make probability theory in function space readily accessible to scientists trained in the traditional methods of applied mathematics, such as integral, ordinary, and partial differential equations and asymptotic methods, rather than in probability and measure theory.

Full Product Details

Author:   Zeev Schuss
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2010 ed.
Volume:   170
Dimensions:   Width: 15.60cm , Height: 2.60cm , Length: 23.40cm
Weight:   1.890kg
ISBN:  

9781441916044


ISBN 10:   1441916040
Pages:   468
Publication Date:   21 December 2009
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

The Physical Brownian Motion: Diffusion And Noise.- The Probability Space of Brownian Motion.- It#x00F4; Integration and Calculus.- Stochastic Differential Equations.- The Discrete Approach and Boundary Behavior.- The First Passage Time of Diffusions.- Markov Processes and their Diffusion Approximations.- Diffusion Approximations to Langevin#x2019;s Equation.- Large Deviations of Markovian Jump Processes.- Noise-Induced Escape From an Attractor.- Stochastic Stability.

Reviews

From the reviews: It intends to investigate the role of stochastic processes in questions from physics or engineering, to explore the strong relationship between stochastic and partial differential equations and to provide analytical approximations to the solutions. ! The book will be very helpful to people working in disciplines like statistical physics, physical chemistry, molecular biophysics, and communications theory. ! Endowed with numerous exercises and worked-out examples, it may also provide graduate students with a well-thought-out two-semester course on stochastic processes and their applications. (Dominique Lepingle, Mathematical Reviews, Issue 2011 d)


From the reviews: It intends to investigate the role of stochastic processes in questions from physics or engineering, to explore the strong relationship between stochastic and partial differential equations and to provide analytical approximations to the solutions. ... The book will be very helpful to people working in disciplines like statistical physics, physical chemistry, molecular biophysics, and communications theory. ... Endowed with numerous exercises and worked-out examples, it may also provide graduate students with a well-thought-out two-semester course on stochastic processes and their applications. (Dominique Lepingle, Mathematical Reviews, Issue 2011 d) This book is something for which many have been long awaiting. It provides a rather in-depth presentation of the analytical approach to stochastic processes with continuous paths. ... The methods developed in the text are very accessible to applied mathematicians with a basic background in probability theory. This is a timely and unique contribution, from one of its leading researchers over four decades, to an exciting area of applied mathematics with ever-growing importance. (Hong Qian, SIAM Review, Vol. 53 (1), 2011)


From the reviews: It intends to investigate the role of stochastic processes in questions from physics or engineering, to explore the strong relationship between stochastic and partial differential equations and to provide analytical approximations to the solutions. ... The book will be very helpful to people working in disciplines like statistical physics, physical chemistry, molecular biophysics, and communications theory. ... Endowed with numerous exercises and worked-out examples, it may also provide graduate students with a well-thought-out two-semester course on stochastic processes and their applications. --- (Dominique Lepingle, Mathematical Reviews, Issue 2011 d) This book is something for which many have been long awaiting. It provides a rather in-depth presentation of the analytical approach to stochastic processes with continuous paths. ... The methods developed in the text are very accessible to applied mathematicians with a basic background in probability theory. This is a timely and unique contribution, from one of its leading researchers over four decades, to an exciting area of applied mathematics with ever-growing importance. (Hong Qian, SIAM Review, Vol. 53 (1), 2011)


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