An Introduction to the Theory of Point Processes: Volume II: General Theory and Structure (Probability and its Applications)
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Average customer review:Product Description
Point processes and random measures find wide applicability in telecommunications, earthquakes, image analysis, spatial point patterns and stereology, to name but a few areas. The authors have made a major reshaping of their work in their first edition of 1988 and now present An Introduction to the Theory of Point Processes in two volumes with subtitles Volume I: Elementary Theory and Methods and Volume II: General Theory and Structure.
Volume I contains the introductory chapters from the first edition together with an account of basic models, second order theory, and an informal account of prediction, with the aim of making the material accessible to readers primarily interested in models and applications. It also has three appendices that review the mathematical background needed mainly in Volume II.
Volume II sets out the basic theory of random measures and point processes in a unified setting and continues with the more theoretical topics of the first edition: limit theorems, ergodic theory, Palm theory, and evolutionary behaviour via martingales and conditional intensity. The very substantial new material in this second volume includes expanded discussions of marked point processes, convergence to equilibrium, and the structure of spatial point processes.
Product Details
- Amazon Sales Rank: #509816 in Books
- Published on: 2007-11-12
- Original language: English
- Number of items: 1
- Binding: Hardcover
- 566 pages
Editorial Reviews
Review
From the reviews of the second edition:
"This book is the second Volume of the original single Volume from 1988, the first volume having appeared in 2003.… It contains several topics that have been studied since 1988, a list of references that is greatly enlarged and improved.… In all, the second volume…serves as an excellent and unique standard reference to the theory of point processes and may not be missed by anyone dealing in a serious way with point processes." (A. Stein, Kwantitatieve Methoden, Issue R12, 2008)
"Although the first and second volumes are not physically bound, they are clearly intimately linked.… A welcome new chapter in this second edition provides a brief introduction to spatial point processes surveying both descriptive methods for point patterns and point process models.… Challenging exercises at the end of each chapter both illuminate and expand on the text. The writing flows, yet is always meticulous, all notation is well defined , and a clear love for the subject is transparent throughout. The two volumes together are a major achievement by the authors and deserve to become a main reference in the area of point processes." (Michael Sherman, Journal of the American Statistical Association, March 2009, Vol. 104, No. 485)
"The second volume focuses on the structure and general theory of point processes … . each topic is carefully motivated and an extensive literature review is provided. … Volume II will be of particular use to the specialist with a good background in probability, measure theory, and topology. … belong on the shelf of any modern probability theorist." (Gail Ivanoff, Mathematical Reviews, Issue 2009 b)
Customer Reviews
through treatment of the theory of point process
These authors are very well known for this text which is a detailed description of the theory of point processes from various perspectives. This is a revision of that text and since the authors have recently published a Volume II to update results over the past 20 years and to add new topics, this second edition is referred to as Volume I
I was discovered by Daley and got to know him because I submitted a paper where I had proved a time reverse property of an exponential AR(1) process. Independently his student Roger Littlejohn had obtained the same result using a different method of proof. We decided to resubmit the paper as a joint three author paper and a paper of Daley on a new characterization of the exponential distribution was spawned from it. In addition to many other interesting results, the book describes our work.



