This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
|
Activity Number:
|
303
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Tuesday, August 3, 2010 : 8:30 AM to 10:20 AM
|
|
Sponsor:
|
Section on Bayesian Statistical Science
|
| Abstract - #307253 |
|
Title:
|
A Probability for Classification Based on the Mixture of Dirichlet Process Model
|
|
Author(s):
|
Ruth Fuentes-Garcia*+ and Ramses Mena and Stephen Graham Walker
|
|
Companies:
|
Universidad Nacional Autónoma de México and IIMAS-UNAM and University of Kent
|
|
Address:
|
, , 04510, MEXICO
|
|
Keywords:
|
Bayesian model ;
Mixture model ;
Gibbs sampler
|
|
Abstract:
|
An explicit probability distribution for classification purposes when observations are viewed on the real line and classifications are to be based on numerical orderings. The classification model is derived from a Bayesian nonparametric mixture of Dirichlet process model; with some modifications. The proposed probability model for classification relies on a numerical procedure based on a reversible Markov chain Monte Carlo (MCMC) algorithm for determining the probabilities.
|
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 2010 program
|
2010 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.