Cart
Free US shipping over $10
Proud to be B-Corp

Markov Processes Stewart N. Ethier (University of Utah)

Markov Processes By Stewart N. Ethier (University of Utah)

Markov Processes by Stewart N. Ethier (University of Utah)


$142.29
Condition - New
Only 2 left

Summary

Converted into a paperback format, at a reduced price Markov Processes: Characterization and Convergence is ideal as a graduate text and/or reference on Markov Processes and their relationship to operator semigroups.

Markov Processes Summary

Markov Processes: Characterization and Convergence by Stewart N. Ethier (University of Utah)

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 fur 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 Stewart N. Ethier (University of Utah)

STEWART N. ETHIER, PhD, is Professor of Mathematics at the University of Utah. He received his PhD in mathematics at the University of Wisconsin Madison.

THOMAS G. KURTZ, PhD, is Professor of Mathematics and Statistics at the University of Wisconsin Madison. He is a Book Review Editor for The Annals of Probability and the author of Approximation of Population Processes. Dr. Kurtz obtained his PhD in mathematics at Stanford University.

Table of Contents

Introduction.

1. Operator Semigroups.

2. Stochastic Processes and Martingales.

3. Convergence of Probability Measures.

4. Generators and Markov Processes.

5. Stochastic Integral Equations.

6. Random Time Changes.

7. Invariance Principles and Diffusion Approximations.

8. Examples of Generators.

9. Branching Processes.

10. Genetic Models.

11. Density Dependent Population Processes.

12. Random Evolutions.

Appendixes.

References.

Index.

Flowchart.

Additional information

NLS9780471769866
9780471769866
047176986X
Markov Processes: Characterization and Convergence by Stewart N. Ethier (University of Utah)
New
Paperback
John Wiley & Sons Inc
2005-10-07
552
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a new book - be the first to read this copy. With untouched pages and a perfect binding, your brand new copy is ready to be opened for the first time

Customer Reviews - Markov Processes