Multiparameter Processes: An Introduction to Random Fields eBook

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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.

This is a digital product.

Multiparameter Processes: An Introduction to Random Fields is written by Davar Khoshnevisan and published by Springer. The Digital and eTextbook ISBNs for Multiparameter Processes are 9780387216317, 0387216316 and the print ISBNs are 9781441930095, 1441930094. Additional ISBNs for this eTextbook include 9780387954592.