Marked Point Processes on the Real Line - Info and Reading Options
The Dynamical Approach (Probability and its Applications)
By Günter Last, Günter Last and Andreas Brandt

"Marked Point Processes on the Real Line" is published by Springer in August 10, 1995, it has 508 pages and the language of the book is English.
“Marked Point Processes on the Real Line” Metadata:
- Title: ➤ Marked Point Processes on the Real Line
- Authors: Günter LastGünter LastAndreas Brandt
- Language: English
- Number of Pages: 508
- Publisher: Springer
- Publish Date: August 10, 1995
“Marked Point Processes on the Real Line” Subjects and Themes:
- Subjects: Point processes - Martingales (Mathematics)
Edition Identifiers:
- The Open Library ID: OL7448509M - OL2922576W
- Online Computer Library Center (OCLC) ID: 32545189
- Library of Congress Control Number (LCCN): 95018596
- ISBN-13: 9780387945477
- ISBN-10: 0387945474
- All ISBNs: 0387945474 - 9780387945477
AI-generated Review of “Marked Point Processes on the Real Line”:
Snippets and Summary:
A point process is a sequence of random variables Tn satisfying Tn Tn+1.
"Marked Point Processes on the Real Line" Description:
The Open Library:
This book gives a self-contained introduction to the dynamic martingale approach to marked point processes (MPPs). Based on the notion of a compensator, this approach gives a versatile tool for analyzing and describing the stochastic properties of an MPP. In particular, the authors discuss the relationship of an MPP to its compensator and particular classes of MPPs are studied in great detail. The theory is applied to study properties of dependent marking and thinning, to prove results on absolute continuity of point process distributions, to establish sufficient conditions for stochastic ordering between point and jump processes, and to solve the filtering problem for certain classes of MPPs. Although readers are assumed to be familiar with the basic notions of measure, integration, and probability theory, an appendix contains extensive surveys of the theory of conditional distributions and Lebesgue-Stieltjes calculus. Consequently researchers and graduate students in probability will find this an ideal introduction to this topic.
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