Multiparameter Processes: An Introduction to Random Fields - Davar Khoshnevisan
-20% with code BOOKS
Shipping in 12-18 days
30-day return policy
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 i ... Full description
You May Also Like
Description
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.
More Information
| Author | Davar Khoshnevisan |
|---|---|
| Publisher | Springer US |
| Series | Springer Monographs in Mathematics |
| Release year | 2011 |
| Cover type | Softcover |
| EAN | 9781441930095 |