Markov Processes: Characterization and Convergence

Ethier, Stewart N, and Kurtz, Thomas G

ISBN 10: 0471081868 / ISBN 13: 9780471081869

Published by Wiley, New York, NY, 1986

Sewn binding. Cloth over boards. 528 p. Wiley Series in Probability & Mathematical Statistics. Audience: General/trade. Very good in very good dust jacket. whisper of shelfwear to the jacket, previous owner name on first page. Seller Inventory # Alibris.0028231

Synopsis:

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.

"[A]nyone who works with Markov processes whose state space is uncountably infinite will need this most impressive book as a guide and reference."
-American Scientist

"There is no question but that space should immediately be reserved for [this] book on the library shelf. Those who aspire to mastery of the contents should also reserve a large number of long winter evenings."
-Zentralblatt für Mathematik und ihre Grenzgebiete/Mathematics Abstracts

"Ethier and Kurtz have produced an excellent treatment of the modern theory of Markov processes that [is] useful both as a reference work and as a graduate textbook."
-Journal of Statistical Physics

Markov Processes presents several different approaches to proving weak approximation theorems for Markov processes, emphasizing the interplay of methods of characterization and approximation. Martingale problems for general Markov processes are systematically developed for the first time in book form. Useful to the professional as a reference and suitable for the graduate student as a text, this volume features a table of the interdependencies among the theorems, an extensive bibliography, and end-of-chapter problems.

About the Author: About the authors Stewart N. Ethier has taught at Michigan State University, and is currently at the University of Utah. He received his PhD in mathematics at the University of Wisconsin-Madison. Thomas G. Kurtz teaches at the University of Wisconsin-Madison. He is Book Review Editor for Annals of Probability, and the author of Approximation of Population Processes. Dr. Kurtz obtained his PhD in mathematics at Stanford University.

Bibliographic Details

Title: Markov Processes: Characterization and ...
Publisher: Wiley, New York, NY
Publication Date: 1986
Binding: Hard cover
Dust Jacket Condition: Dust Jacket Included
Edition: First edition.