Multiparameter processes
an introduction to random fields
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Word Count
146,000 words, Guess
Page Count
584 pages
Identifiers
- Open LibraryOL17051766M
- ISBN-100387954597
- OCLC Control Number49312408
- OCLC Control Numbermultiparameterpr00khos
- Library of Congress Control Number2002022927
Classifications
- LCCQA274.45 .K58 2002
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.
Subjects
Series Statement
- Springer monographs in mathematics
Other Editions
- Multiparameter processes: an introduction to random fields
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