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Stochastic Processes with Applications Siam Classics Edition
Contributor(s): Bhattacharya, Rabi N. (Author), Waymire, Edward C. (Author)
ISBN: 0898716896     ISBN-13: 9780898716894
Publisher: Society for Industrial and Applied Mathematic
OUR PRICE:   $101.65  
Product Type: Paperback - Other Formats
Published: August 2009
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Additional Information
BISAC Categories:
- Mathematics | Probability & Statistics - General
Dewey: 519.5
LCCN: 2009022943
Series: Classics in Applied Mathematics
Physical Information: 184 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
This book develops systematically and rigorously, yet in an expository and lively manner, the evolution of general random processes and their large time properties such as transience, recurrence, and convergence to steady states. The emphasis is on the most important classes of these processes from the viewpoint of theory as well as applications, namely, Markov processes. The book features very broad coverage of the most applicable aspects of stochastic processes, including sufficient material for self-contained courses on random walks in one and multiple dimensions; Markov chains in discrete and continuous times, including birth-death processes; Brownian motion and diffusions; stochastic optimization; and stochastic differential equations. This book is for graduate students in mathematics, statistics, science and engineering, and it may also be used as a reference by professionals in diverse fields whose work involves the application of probability.

Contributor Bio(s): Bhattacharya, Rabi N.: - Rabi N. Bhattacharya is a Professor of Mathematics at the University of Arizona. He is an IMS Fellow, a member of the AMS, and a recipient of the Humboldt Prize and a Guggenheim Fellowship.Waymire, Edward C.: - Edward C. Waymire is a Professor of Mathematics and Statistics at Oregon State University. He is a member of the AMS and SIAM, a Fellow of the IMS, and past Editor in Chief for the Annals of Applied Probability.