Theory and Applications of Stochastic Processes An Analytical Approach /

This book offers an analytical approach to stochastic processes that are most common in the physical and life sciences. Its aim is to make probability theory readily accessible to scientists trained in the traditional methods of applied mathematics, such as integral, ordinary, and partial differenti...

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Bibliographic Details
Main Author: Schuss, Zeev. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic
Language:English
Published: New York, NY : Springer New York, 2010.
Series:Applied Mathematical Sciences, 170
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4419-1605-1
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505 0 # |a Introduction -- The Physical Brownian Motion: Diffusion and Noise -- The Probability Space of Brownian Motion -- Ito Integration and Calculus -- Stochastic Differential Equations -- The Discrete Approach and Boundary Behavior -- The First Passage Time of Diffusions -- Markov Processes and Diffusion Approximations -- Diffusion Approximations to Langevin's Equation -- Large Deviations of Markovian Jump Processes -- Noise-Induced Escape from an Attractor -- Stochastic Stability -- Bibliography. 
520 # # |a This book offers an analytical approach to stochastic processes that are most common in the physical and life sciences. Its aim is to make probability theory readily accessible to scientists trained in the traditional methods of applied mathematics, such as integral, ordinary, and partial differential equations and in asymptotic methods, rather than in probability and measure theory. It shows how to derive explicit expressions for quantities of interest by solving equations. Emphasis is put on rational modeling and approximation methods. The book includes many detailed illustrations, applications, examples and exercises. It will appeal to graduate students and researchers in mathematics, physics and engineering. 
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650 2 4 |a Statistical Physics, Dynamical Systems and Complexity. 
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