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Mathematics - Probability Theory and Stochastic Processes | Measure-Valued Branching Markov Processes (Reviews)

Measure-Valued Branching Markov Processes

Li, Zenghu

2011, XI, 350 p.

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From the book reviews:

“The present book appears to be the first monograph in textbook format that provides a rigorous treatment of general theory for a wide class of measure-valued processes. … A selection of good examples throughout the book helps clarify the results. … This is a well-written, concise and dedicated book. It will serve excellently as a platform and reference for the next phase of development of superprocesses and measure-valued branching processes.” (Ingemar Kaj, Mathematical Reviews, Issue 2012 c)

“The present book is written for the purpose of providing a compact and rigorous basic theory of measured-valued branching processes and immigration processes. … this book is well organized, the presentation is very systematic and sufficiently simple, and the key points are easy to understand. … It is recommendable for graduate students and researchers working in the field of measure-valued processes and their related topics, including stochastic processes and probability theory.” (Isamu Dôku, Zentralblatt MATH, Vol. 1235, 2012)

“The main purpose of this book is to give a compact and rigorous treatment of the basic theory of measure-valued branching processes and immigration processes. … This book can be used as a reference of the basics of Dawson–Watanabe superprocesses and immigration superprocesses. It can also be used in a course for graduate students specialized in probability and stochastic processes.” (Gyula Pap, Acta Scientiarum Mathematicarum (Szeged), Vol. 77 (3-4), 2011)

 

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