ENGLISH

Multiparameter Processes: An Introduction to Random Fields

By Davar Khoshnevisan (auth.)

Book information

Publisher
Springer-Verlag New York
Year
2002
ISBN
978-0-387-95459-2, 978-0-387-21631-7
DOI
10.1007/b97363
Language
english
Format
PDF
Filesize
10 MB (10826960 bytes)
Series
Springer Monographs in Mathematics
Edition
1
Pages
584\590
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Probability Theory and Stochastic Processes

Description

Multiparameter processes extend the existing one-parameter theory of random processes in an elegant way, and have found connections to diverse disciplines such as probability theory, real and functional analysis, group theory, analytic number theory, and group renormalization in mathematical physics, to name a few. This book lays the foundation of aspects of the rapidly-developing subject of random fields, and is designed for a second graduate course in probability and beyond. Its intended audience is pure, as well as applied, mathematicians. Davar Khoshnevisan is Professor of Mathematics at the University of Utah. His research involves random fields, probabilistic potential theory, and stochastic analysis.

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