Multiparameter Processes: An Introduction to Random Fields
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Bibliographic Details
Main Author: Khoshnevisan, Davar (Author)
Format: Electronic eBook
Language:English
Published: New York, NY Springer New York 2002
Series:Springer Monographs in Mathematics
Subjects:
Online Access:Volltext
Item 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
Physical Description:1 Online-Ressource (XIX, 584 p.) 8 illus
ISBN:9780387216317
9781441930095
ISSN:1439-7382
DOI:10.1007/b97363

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