Hardcover ISBN:  9780821829851 
Product Code:  GSM/43 
230 pp 
List Price:  $47.00 
MAA Member Price:  $42.30 
AMS Member Price:  $37.60 
Electronic ISBN:  9781470420949 
Product Code:  GSM/43.E 
230 pp 
List Price:  $44.00 
MAA Member Price:  $39.60 
AMS Member Price:  $35.20 

Book DetailsGraduate Studies in MathematicsVolume: 43; 2002MSC: Primary 60;
This book concentrates on some general facts and ideas of the theory of stochastic processes. The topics include the Wiener process, stationary processes, infinitely divisible processes, and Itô stochastic equations.
Basics of discrete time martingales are also presented and then used in one way or another throughout the book. Another common feature of the main body of the book is using stochastic integration with respect to random orthogonal measures. In particular, it is used for spectral representation of trajectories of stationary processes and for proving that Gaussian stationary processes with rational spectral densities are components of solutions to stochastic equations. In the case of infinitely divisible processes, stochastic integration allows for obtaining a representation of trajectories through jump measures. The Itô stochastic integral is also introduced as a particular case of stochastic integrals with respect to random orthogonal measures.
Although it is not possible to cover even a noticeable portion of the topics listed above in a short book, it is hoped that after having followed the material presented here, the reader will have acquired a good understanding of what kind of results are available and what kind of techniques are used to obtain them.
With more than 100 problems included, the book can serve as a text for an introductory course on stochastic processes or for independent study.
Other works by this author published by the AMS include, Lectures on Elliptic and Parabolic Equations in Hölder Spaces and Introduction to the Theory of Diffusion Processes.ReadershipGraduate students and research mathematicians, physicists, and engineers interested in the theory of random processes and its applications.

Table of Contents

Chapters

Chapter 1. Generalities

Chapter 2. The Wiener process

Chapter 3. Martingales

Chapter 4. Stationary processes

Chapter 5. Infinitely divisible processes

Chapter 6. Itô stochastic integral


Reviews

The book is written in a nice and thorough style. A large number of exercises are contained.
Zentralblatt MATH 
An attractive feature of the book, apart from the nice and meticulous style of writing, is that it contains a large number of examples and exercises (and hints for exercises—some of which are certainly quite ambitious and demanding!).
Mathematical Reviews


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This book concentrates on some general facts and ideas of the theory of stochastic processes. The topics include the Wiener process, stationary processes, infinitely divisible processes, and Itô stochastic equations.
Basics of discrete time martingales are also presented and then used in one way or another throughout the book. Another common feature of the main body of the book is using stochastic integration with respect to random orthogonal measures. In particular, it is used for spectral representation of trajectories of stationary processes and for proving that Gaussian stationary processes with rational spectral densities are components of solutions to stochastic equations. In the case of infinitely divisible processes, stochastic integration allows for obtaining a representation of trajectories through jump measures. The Itô stochastic integral is also introduced as a particular case of stochastic integrals with respect to random orthogonal measures.
Although it is not possible to cover even a noticeable portion of the topics listed above in a short book, it is hoped that after having followed the material presented here, the reader will have acquired a good understanding of what kind of results are available and what kind of techniques are used to obtain them.
With more than 100 problems included, the book can serve as a text for an introductory course on stochastic processes or for independent study.
Other works by this author published by the AMS include, Lectures on Elliptic and Parabolic Equations in Hölder Spaces and Introduction to the Theory of Diffusion Processes.
Graduate students and research mathematicians, physicists, and engineers interested in the theory of random processes and its applications.

Chapters

Chapter 1. Generalities

Chapter 2. The Wiener process

Chapter 3. Martingales

Chapter 4. Stationary processes

Chapter 5. Infinitely divisible processes

Chapter 6. Itô stochastic integral

The book is written in a nice and thorough style. A large number of exercises are contained.
Zentralblatt MATH 
An attractive feature of the book, apart from the nice and meticulous style of writing, is that it contains a large number of examples and exercises (and hints for exercises—some of which are certainly quite ambitious and demanding!).
Mathematical Reviews