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Multiparameter Processes

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Multiparameter Processes Synopsis

Multi-parameter processes extend the existing one-parameter theory in an elegant way and have many applications to other fields in mathematics such as real analysis, functional analysis, group theory, and analytic number theory, to name a few. This book on the vast and rapidly developing subject of random fields is designed for a second graduate course in probability. Recent work on random fields has made it possible to make it an expository subject which interacts with several other areas in mathematics and has enough mathematical depth to be of use to pure as well as applied mathematicians of many backgrounds.

About This Edition

ISBN: 9781441930095
Publication date:
Author: Davar Khoshnevisan
Publisher: Springer an imprint of Springer New York
Format: Paperback
Pagination: 584 pages
Series: Springer Monographs in Mathematics
Genres: Probability and statistics
Stochastics
Functional analysis and transforms