Self-Normalized Processes by Tze Lai

Self-Normalized Processes by Tze Lai

This volume covers recent developments in self-normalized processes, including self-normalized large and moderate deviations, and laws of the iterated logarithms for self-normalized martingales.

From the reviews:

"Readership: Research workers in applied probability… it serves as a reference text for a special-topic course for PhD students; each chapter after the first ends with a collection of problems and the material is based on such a course taught by two of the authors at Stanford and Hong kong. … It is a thorough … study of an area of applied probability that underlies important statistical methodology. … I am sure that the text will encourage others to join them in their work." (Martin Crowder, International Statistical Review, Vol. 77 (3), 2009)

"The monograph will certainly be of great use as a reference text for researchers working on corresponding problems, but also for Ph.D. and other advanced students who want to learn about the techniques and relevant topics in an interesting and active research area. … this monograph provides a very useful collection of recent and earlier research results in the theory and applications of self-normalized processes and can be used as a standard reference text by graduate students and researchers in the field." (Josef Steinebach, Zentralblatt MATH, Vol. 1165, 2009)

“This book covers recent developments on self-normalized processes, emphasizing important advances in the area. It is the first book that systematically treats the theory and applications of self-normalized processes. … In all aspects, this is an excellent book, and it is ideal for a second-year Ph.D. level topics course. It is also a great book for anyone who is interested in research in self-normalized processes and related areas.” (Fuchang Gao, Mathematical Reviews, Issue 2010 d)

Victor H. de la Pena is Fellow of Institute of Mathematical Statistics and a Medallion Lecturer for IMS in 2007. Tze Leung LAI: Distinguished Lecture Series in Statistical Science from Academia Sinica (2001), Starr Lectures in Financial Mathematics from the University of Hong Kong (2001), Center for Advanced Study in the Behavioral Sciences Fellowship (1999-2000), Richard Anderson Lecture in Statistics from University of Kentucky (1999), Election to Academia Sinica (1994), Committee of Presidents of Statistical Societies Award (1983), John Simon Guggenheim Fellowship (1983-84). Qi-Man SHAO is Associate Editor of 5 top journals and co-author of: Chen, M. H., Shao, Q. M. and Ibrahim, J.G. (2000) , Monte Carlo Methods In Bayesian Computation . Springer Series in Statistics, Springer-Verlag , New York. ISBN 0-387-98935-8

SKU	Unavailable
ISBN 13	9783540856351
ISBN 10	3540856358
Title	Self-Normalized Processes
Author	Qiman Shao
Series	Probability And Its Applications
Condition	Unavailable
Binding Type	Hardback
Publisher	Springer
Year published	2009-01-28
Number of pages	275
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.