Elements of the Theory of Markov Processes and Their Applications

Elements of the Theory of Markov Processes and Their Applications

Author: Albert T. Bharucha-Reid

Publisher: McGraw-Hill Companies

Published: 1960

Total Pages: 488

ISBN-13:

DOWNLOAD EBOOK

Graduate-level text and reference in probability, with numerous scientific applications. Nonmeasure-theoretic introduction to theory of Markov processes and to mathematical models based on the theory. Appendixes. Bibliographies. 1960 edition.


Elements of the Theory of Markov Processes and Their Applications

Elements of the Theory of Markov Processes and Their Applications

Author: A. T. Bharucha-Reid

Publisher: Courier Corporation

Published: 2012-04-26

Total Pages: 485

ISBN-13: 0486150356

DOWNLOAD EBOOK

This graduate-level text and reference in probability, with numerous applications to several fields of science, presents nonmeasure-theoretic introduction to theory of Markov processes. The work also covers mathematical models based on the theory, employed in various applied fields. Prerequisites are a knowledge of elementary probability theory, mathematical statistics, and analysis. Appendixes. Bibliographies. 1960 edition.


The Elements of Stochastic Processes with Applications to the Natural Sciences

The Elements of Stochastic Processes with Applications to the Natural Sciences

Author: Norman T. J. Bailey

Publisher: John Wiley & Sons

Published: 1991-01-16

Total Pages: 268

ISBN-13: 9780471523680

DOWNLOAD EBOOK

Develops an introductory and relatively simple account of the theory and application of the evolutionary type of stochastic process. Professor Bailey adopts the heuristic approach of applied mathematics and develops both theoretical principles and applied techniques simultaneously.


Finite Markov Processes and Their Applications

Finite Markov Processes and Their Applications

Author: Marius Iosifescu

Publisher: Courier Corporation

Published: 2014-07-01

Total Pages: 305

ISBN-13: 0486150585

DOWNLOAD EBOOK

A self-contained treatment of finite Markov chains and processes, this text covers both theory and applications. Author Marius Iosifescu, vice president of the Romanian Academy and director of its Center for Mathematical Statistics, begins with a review of relevant aspects of probability theory and linear algebra. Experienced readers may start with the second chapter, a treatment of fundamental concepts of homogeneous finite Markov chain theory that offers examples of applicable models. The text advances to studies of two basic types of homogeneous finite Markov chains: absorbing and ergodic chains. A complete study of the general properties of homogeneous chains follows. Succeeding chapters examine the fundamental role of homogeneous infinite Markov chains in mathematical modeling employed in the fields of psychology and genetics; the basics of nonhomogeneous finite Markov chain theory; and a study of Markovian dependence in continuous time, which constitutes an elementary introduction to the study of continuous parameter stochastic processes.


Markov Processes

Markov Processes

Author: Daniel T. Gillespie

Publisher: Gulf Professional Publishing

Published: 1992

Total Pages: 600

ISBN-13: 9780122839559

DOWNLOAD EBOOK

Markov process theory provides a mathematical framework for analyzing the elements of randomness that are involved in most real-world dynamical processes. This introductory text, which requires an understanding of ordinary calculus, develops the concepts and results of random variable theory.


The Dynkin Festschrift

The Dynkin Festschrift

Author: Mark I. Freidlin

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 433

ISBN-13: 1461202795

DOWNLOAD EBOOK

Onishchik, A. A. Kirillov, and E. B. Vinberg, who obtained their first results on Lie groups in Dynkin's seminar. At a later stage, the work of the seminar was greatly enriched by the active participation of 1. 1. Pyatetskii Shapiro. As already noted, Dynkin started to work in probability as far back as his undergraduate studies. In fact, his first published paper deals with a problem arising in Markov chain theory. The most significant among his earliest probabilistic results concern sufficient statistics. In [15] and [17], Dynkin described all families of one-dimensional probability distributions admitting non-trivial sufficient statistics. These papers have considerably influenced the subsequent research in this field. But Dynkin's most famous results in probability concern the theory of Markov processes. Following Kolmogorov, Feller, Doob and Ito, Dynkin opened a new chapter in the theory of Markov processes. He created the fundamental concept of a Markov process as a family of measures corresponding to var ious initial times and states and he defined time homogeneous processes in terms of the shift operators ()t. In a joint paper with his student A.


Symmetric Markov Processes, Time Change, and Boundary Theory (LMS-35)

Symmetric Markov Processes, Time Change, and Boundary Theory (LMS-35)

Author: Zhen-Qing Chen

Publisher: Princeton University Press

Published: 2012

Total Pages: 496

ISBN-13: 069113605X

DOWNLOAD EBOOK

This book gives a comprehensive and self-contained introduction to the theory of symmetric Markov processes and symmetric quasi-regular Dirichlet forms. In a detailed and accessible manner, Zhen-Qing Chen and Masatoshi Fukushima cover the essential elements and applications of the theory of symmetric Markov processes, including recurrence/transience criteria, probabilistic potential theory, additive functional theory, and time change theory. The authors develop the theory in a general framework of symmetric quasi-regular Dirichlet forms in a unified manner with that of regular Dirichlet forms, emphasizing the role of extended Dirichlet spaces and the rich interplay between the probabilistic and analytic aspects of the theory. Chen and Fukushima then address the latest advances in the theory, presented here for the first time in any book. Topics include the characterization of time-changed Markov processes in terms of Douglas integrals and a systematic account of reflected Dirichlet spaces, and the important roles such advances play in the boundary theory of symmetric Markov processes. This volume is an ideal resource for researchers and practitioners, and can also serve as a textbook for advanced graduate students. It includes examples, appendixes, and exercises with solutions.