Markov Processes: Characterization and Convergence

Markov Processes: Characterization and Convergence

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 fÃ¼r 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.

Country	USA
Binding	Paperback
EAN	9780471769866
Edition	2nd
IsAdultProduct
ISBN	047176986X
IsEligibleForTradeIn	1
Label	Wiley-Interscience
Manufacturer	Wiley-Interscience
NumberOfItems	1
NumberOfPages	528
PublicationDate	2005-09-14
Publisher	Wiley-Interscience
Studio	Wiley-Interscience
ReleaseDate	0000-00-00

Markov Processes: Characterization and Convergence

You might also like...