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Measure-Valued Branching Markov Processes
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Catalogue Information
Field name
Details
Dewey Class
519.2
Title
Measure-Valued Branching Markov Processes ([Ebook]) / by Zenghu Li.
Author
Li, Zenghu
Other name(s)
SpringerLink (Online service)
Publication
Berlin, Heidelberg : Springer , 2011.
Physical Details
XI, 350 pages : online resource.
Series
Probability and Its Applications
1431-7028
ISBN
9783642150043
Summary Note
Measure-valued branching processes arise as high density limits of branching particle systems. The Dawson-Watanabe superprocess is a special class of those. The author constructs superprocesses with Borel right underlying motions and general branching mechanisms and shows the existence of their Borel right realizations. He then uses transformations to derive the existence and regularity of several different forms of the superprocesses. This treatment simplifies the constructions and gives useful perspectives. Martingale problems of superprocesses are discussed under Feller type assumptions. The most important feature of the book is the systematic treatment of immigration superprocesses and generalized Ornstein--Uhlenbeck processes based on skew convolution semigroups. The volume addresses researchers in measure-valued processes, branching processes, stochastic analysis, biological and genetic models, and graduate students in probability theory and stochastic processes.:
Contents note
Preface -- 1. Random Measures on Metric Spaces -- 2. Measure-valued Branching Processes -- 3. One-dimensional Branching Processes -- 4. Branching Particle Systems -- 5. Basic Regularities of Superprocesses -- 6. Constructions by Transformations -- 7. Martingale Problems of Superprocesses -- 8. Entrance Laws and Excursion Laws -- 9. Structures of Independent Immigration -- 10. State-dependent Immigration Structures -- 11. Generalized Ornstein-Uhlenbeck Processes -- 12. Small Branching Fluctuation Limits -- 13. Appendix: Markov Processes -- Bibliography -- Index.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
http://dx.doi.org/10.1007/978-3-642-15004-3
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Subject References:
Distribution (Probability theory)
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Markov processes
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Mathematics
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Probability theory and stochastic processes
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Authors:
Li, Zenghu
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Corporate Authors:
SpringerLink (Online service)
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Series:
Probability and Its Applications
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Classification:
519.2
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519.2 (DDC 22)
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