Topics in Spatial Stochastic Processes

Vincenzo Capasso

ISBN 10: 3540002952 / ISBN 13: 9783540002956

Published by Springer, Springer Vieweg Jan 2003, 2003

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 268 pp. Englisch.

Seller Inventory # 9783540002956

Bibliographic Details

• Title: Topics in Spatial Stochastic Processes
• Publisher: Springer, Springer Vieweg Jan 2003
• Publication Date: 2003
• Language: English
• ISBN 10: 3540002952
• ISBN 13: 9783540002956
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 15D millimeters 235 millimeters width by 155 millimeters height by 15 millimeters depth
• Weight: 411 grams

About this title

Synopsis

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.