The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Online Program Home
Abstract Details
|
Activity Number:
|
352
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Tuesday, July 31, 2012 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
Section on Bayesian Statistical Science
|
| Abstract - #304367 |
|
Title:
|
Bayesian Online Ranking Using W-Stein's Identity
|
|
Author(s):
|
Chiu-Hsing Weng*+
|
|
Companies:
|
National Chengchi University
|
|
Address:
|
Dept of Statistics, Taipei 11623, , Taiwan, Republic of China
|
|
Keywords:
|
Bayesian ;
chess ;
Glicko ;
online ranking ;
W-Stein's identity
|
|
Abstract:
|
For Internet games, large online ranking systems are much needed. We propose a Bayesian approximation method, based on a variant of Stein's identity (1981), to obtain online ranking algorithms with simple analytic update rules. Experiments on game data show that the accuracy of our approach is competitive with state of the art systems such as TrueSkill, but the running time as well as the code are much shorter. We also compare our method with Glicko rating system, designed for rating chess players.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2012 program
|
2012 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.