Overview
- Features exciting theoretical developments and scientific applications based off of Chen’s research
- Provides expert insight into a pioneering figure by leading statisticians and mathematicians
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Statistics (LNS, volume 205)
Part of the book sub series: Lecture Notes in Statistics - Proceedings (LNSP)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (10 papers)
-
Front Matter
-
Related Topics
-
Front Matter
-
Keywords
About this book
In June 2010, a conference, Probability Approximations and Beyond, was held at the National University of Singapore (NUS), in honor of pioneering mathematician Louis Chen. Chen made the first of several seminal contributions to the theory and application of Stein’s method. One of his most important contributions has been to turn Stein’s concentration inequality idea into an effective tool for providing error bounds for the normal approximation in many settings, and in particular for sums of random variables exhibiting only local dependence. This conference attracted a large audience that came to pay homage to Chen and to hear presentations by colleagues who have worked with him in special ways over the past 40+ years.
The papers in this volume attest to how Louis Chen’s cutting-edge ideas influenced and continue to influence such areas as molecular biology and computer science. He has developed applications of his work on Poisson approximation to problems of signal detection in computational biology. The original papers contained in this book provide historical context for Chen’s work alongside commentary on some of his major contributions by noteworthy statisticians and mathematicians working today.
Editors and Affiliations
Bibliographic Information
Book Title: Probability Approximations and Beyond
Editors: Andrew Barbour, Hock Peng Chan, David Siegmund
Series Title: Lecture Notes in Statistics
DOI: https://doi.org/10.1007/978-1-4614-1966-2
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media, LLC 2012
Softcover ISBN: 978-1-4614-1965-5Published: 07 December 2011
eBook ISBN: 978-1-4614-1966-2Published: 08 December 2011
Series ISSN: 0930-0325
Series E-ISSN: 2197-7186
Edition Number: 1
Number of Pages: XIV, 159
Number of Illustrations: 18 b/w illustrations, 23 illustrations in colour
Topics: Probability Theory and Stochastic Processes, Statistical Theory and Methods