The Poisson-Dirichlet Distribution and Related Topics
Models and Asymptotic Behaviors
1st Edition
Published on 5. September 2012
Book
Paperback/Softback
XIV, 218 pages
978-3-642-26379-8 (ISBN)
Description
Shui Feng is a Professor of Mathematics and Statistics at McMaster University, Canada. His research is in the broad area of stochastic processes and limit theorems, with particular interests in stochastic models in population genetics, finance, and statistical physics. He is the co-editor of one book and the author of more than 30 research papers.
Reviews / Votes
From the reviews:
"The intended audience of this book includes researchers and graduate students in probability, population genetics and statistics. Most material in the book is self-contained and should be accessible to anyone with a graduate level knowledge of probability theory. . this book provides useful connections to mathematical population genetics and many advanced probabilistic applications." (Wenbo V. Li, Mathematical Reviews, Issue 2012 c)More details
Series
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
XIV, 218 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 13 mm
Weight
359 gr
ISBN-13
978-3-642-26379-8 (9783642263798)
DOI
10.1007/978-3-642-11194-5
Schweitzer Classification
Other editions
Additional editions
Book
06/2010
Springer
€53.49
Shipment within 7-9 days
Person
Shui Feng is a Professor of Mathematics and Statistics at McMaster University, Canada. His research is in the broad area of stochastic processes and limit theorems, with particular interests in stochastic models in population genetics, finance, and statistical physics. He is the co-editor of one book and the author of more than 30 research papers.
Content
Models.- The Poisson-Dirichlet Distribution.- The Two-Parameter Poisson-Dirichlet Distribution.- The Coalescent.- Stochastic Dynamics.- Particle Representation.- Asymptotic Behaviors.- Fluctuation Theorems.- Large Deviations for the Poisson-Dirichlet Distribution.- Large Deviations for the Dirichlet Processes.