Multiparameter Processes
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Multiparameter Processes
Author: Davar Khoshnevisan
language: en
Publisher: Springer Science & Business Media
Release Date: 2006-04-10
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.
Topics in Spatial Stochastic Processes
The theory of stochastic processes indexed by a partially ordered set has been the subject of much research over the past twenty years. The objective of this CIME International Summer School was to bring to a large audience of young probabilists the general theory of spatial processes, including the theory of set-indexed martingales and to present the different branches of applications of this theory, including stochastic geometry, spatial statistics, empirical processes, spatial estimators and survival analysis. This theory has a broad variety of applications in environmental sciences, social sciences, structure of material and image analysis. In this volume, the reader will find different approaches which foster the development of tools to modelling the spatial aspects of stochastic problems.
Stopping Times and Directed Processes
Author: Gerald A. Edgar
language: en
Publisher: Cambridge University Press
Release Date: 1992-08-28
A unified treatment of the theory of 'stopping times' for probability theorists and statisticians.