Overview
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.
Full Product Details
Author: Davar Khoshnevisan
Publisher: Springer-Verlag New York Inc.
Imprint: Springer-Verlag New York Inc.
Edition: 2002 ed.
Dimensions:
Width: 15.50cm
, Height: 3.30cm
, Length: 23.50cm
Weight: 1.145kg
ISBN: 9780387954592
ISBN 10: 0387954597
Pages: 584
Publication Date: 10 July 2002
Audience:
College/higher education
,
Postgraduate, Research & Scholarly
Format: Hardback
Publisher's Status: Active
Availability: In Print
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Reviews
From the reviews: <p> This book presents an updated and comprehensible account on the theory of multiparameter stochastic processes. a ] This book is certainly a basic reference for subjects like multiparameter martingales and potential theory for the Brownian sheet and several Markov processes. It can be useful for researchers who would like to learn the basis and recent developments of these subjects. The book is self-contained a ] . In spite of the technical character of the subject, reading this book is a very pleasant and enriching experience. (David Nualart, Mathematical Reviews, Issue 2004 a) <p> This book aims to construct a general framework for the analysis of a large class of random fields, also known as multiparameter processes. A great part of one-parameter theory is also included, with the goal to keep the book self-contained. a ] The book contains a lot of supplementary exercises, extended theoretical appendices and is useful both for highly qualified specialists and for advanced graduate students. (Yu. S. Mishura, Zentralblatt Math, Vol. 1005, 2003) <p> The present book is the first one presenting a general treatment of random fields. a ] The book can be recommended not only to probabilists but to anyone interested in the applications of probability within other areas of mathematics, particularly in analysis. (P. RA(c)vA(c)sz, Internationale Mathematische Nachrichten, Vol. 57 (192), 2003)
From the reviews: This book presents an updated and comprehensible account on the theory of multiparameter stochastic processes. ! This book is certainly a basic reference for subjects like multiparameter martingales and potential theory for the Brownian sheet and several Markov processes. It can be useful for researchers who would like to learn the basis and recent developments of these subjects. The book is self-contained ! . In spite of the technical character of the subject, reading this book is a very pleasant and enriching experience. (David Nualart, Mathematical Reviews, Issue 2004 a) This book aims to construct a general framework for the analysis of a large class of random fields, also known as multiparameter processes. A great part of one-parameter theory is also included, with the goal to keep the book self-contained. ! The book contains a lot of supplementary exercises, extended theoretical appendices and is useful both for highly qualified specialists and for advanced graduate students. (Yu. S. Mishura, Zentralblatt Math, Vol. 1005, 2003) The present book is the first one presenting a general treatment of random fields. ! The book can be recommended not only to probabilists but to anyone interested in the applications of probability within other areas of mathematics, particularly in analysis. (P. Revesz, Internationale Mathematische Nachrichten, Vol. 57 (192), 2003)
