Multiparameter processes
an introduction to random fields
by Davar Khoshnevisan
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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Previews available in: English
| Edition | Availability |
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1
Multiparameter Processes: An Introduction to Random Fields
Aug 11, 2011, Springer New York
paperback
1441930094 9781441930095
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Multiparameter processes: an introduction to random fields
2002, Springer
in English
0387954597 9780387954592
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Book Details
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Includes bibliographical references (p. [543]-565) and indexes
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