Multiparameter Processes: An Introduction to Random Fields - Rilegato

Libro 18 di 184: Springer Monographs in Mathematics

Khoshnevisan, Davar

 
9780387954592: Multiparameter Processes: An Introduction to Random Fields

Sinossi

Self-contained presentation: from elementary material to state-of-the-art research; Much of the theory in book-form for the first time; Connections are made between probability and other areas of mathematics, engineering and mathematical physics

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Dalla quarta di copertina

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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9781441930095: Multiparameter Processes: An Introduction to Random Fields

Edizione in evidenza

ISBN 10:  1441930094 ISBN 13:  9781441930095
Casa editrice: Springer, 2011
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