<p>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 phys
Multiparameter Processes: An Introduction to Random Fields
β Scribed by Davar Khoshnevisan
- Publisher
- Springer
- Year
- 2002
- Tongue
- English
- Leaves
- 605
- Series
- Springer Monographs in Mathematics
- Edition
- 1st
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
π SIMILAR VOLUMES
<p>Today, the theory of random processes represents a large field of mathematics with many different branches, and the task of choosing topics for a brief introduction to this theory is far from being simple. This introduction to the theory of random processes uses mathematical models that are simpl