
Set-Indexed Martingales
Chapman & Hall/CRC (Publisher)
1st Edition
Will be published approx. on 27. October 1999
Book
Hardback
224 pages
978-1-58488-082-0 (ISBN)
Description
Set-Indexed Martingales offers a unique, comprehensive development of a general theory of Martingales indexed by a family of sets. The authors establish-for the first time-an appropriate framework that provides a suitable structure for a theory of Martingales with enough generality to include many interesting examples.
Developed from first principles, the theory brings together the theories of Martingales with a directed index set and set-indexed stochastic processes. Part One presents several classical concepts extended to this setting, including: stopping, predictability, Doob-Meyer decompositions, martingale characterizations of the set-indexed Poisson process, and Brownian motion. Part Two addresses convergence of sequences of set-indexed processes and introduces functional convergence for processes whose sample paths live in a Skorokhod-type space and semi-functional convergence for processes whose sample paths may be badly behaved.
Completely self-contained, the theoretical aspects of this work are rich and promising. With its many important applications-especially in the theory of spatial statistics and in stochastic geometry- Set Indexed Martingales will undoubtedly generate great interest and inspire further research and development of the theory and applications.
Developed from first principles, the theory brings together the theories of Martingales with a directed index set and set-indexed stochastic processes. Part One presents several classical concepts extended to this setting, including: stopping, predictability, Doob-Meyer decompositions, martingale characterizations of the set-indexed Poisson process, and Brownian motion. Part Two addresses convergence of sequences of set-indexed processes and introduces functional convergence for processes whose sample paths live in a Skorokhod-type space and semi-functional convergence for processes whose sample paths may be badly behaved.
Completely self-contained, the theoretical aspects of this work are rich and promising. With its many important applications-especially in the theory of spatial statistics and in stochastic geometry- Set Indexed Martingales will undoubtedly generate great interest and inspire further research and development of the theory and applications.
Reviews / Votes
"...a small, elegant volume...This state-of-the-art monograph will be a valuable resource and stimulus for further work in the area."-Short Book Reviews of the ISI
"I would recommend the book as an excellent introduction to set-indexed martingales. The foundations of the general theory are clearly presented and the reader is led to a point that is close to the current edge of research."
--Simon Harris, University of Bath
More details
Series
Language
English
Place of publication
Oxford
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Professional and scholarly
Academic and Postgraduate
Dimensions
Height: 229 mm
Width: 152 mm
Weight
488 gr
ISBN-13
978-1-58488-082-0 (9781584880820)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Gail Ivanoff | Ely Merzbach
Set-Indexed Martingales
E-Book
12/2024
Routledge
€73.99
Available for download

Gail Ivanoff | Ely Merzbach
Set-Indexed Martingales
E-Book
12/2024
Routledge
€73.99
Available for download
Persons
Gail Ivanoff, Professor of Mathematics and Statistics, University of Ottawa, Ontario, Canada. Ely Merzbach, Professor of Mathematics and Computer Science, Bar-Ilan University, Ramat Gan, Israel.
Content
Introduction
General Theory
Generalities. Predictability. Martingales. Decompositions and Quadratic Variation
Martingale Characterizations. Generalizations of Martingales
Weak Convergence.
Weak Convergence of Set-Indexed Processes
Limit Theorems for Point Processes
Martingale Central Limit Theorems
References
Index.
General Theory
Generalities. Predictability. Martingales. Decompositions and Quadratic Variation
Martingale Characterizations. Generalizations of Martingales
Weak Convergence.
Weak Convergence of Set-Indexed Processes
Limit Theorems for Point Processes
Martingale Central Limit Theorems
References
Index.