Multiparameter Processes: An Introduction to Random Fields
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.
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.
Категории:
Год:
2002
Издание:
1st
Издательство:
Springer
Язык:
english
Страницы:
584
ISBN 10:
0387954597
ISBN 13:
9780387954592
Серия:
Springer Monographs in Mathematics
Файл:
PDF, 4.30 MB
IPFS:
,
english, 2002
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