JSM 2004 Online Program

Abstract #301281

This is the preliminary program for the 2004 Joint Statistical Meetings in Toronto, Canada. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2004); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

Back to main JSM 2004 Program page

Activity Number:	162
Type:	Contributed
Date/Time:	Monday, August 9, 2004 : 2:00 PM to 3:50 PM
Sponsor:	Section on Survey Research Methods
Abstract - #301281
Title:	The Posterior Likelihood
Author(s):	Hee-Choon Shin*+
Companies:	NORC, University of Chicago
Address:	55 East Monroe St., Suite 4800, Chicago, IL, 60603,
Keywords:	likelihood ; Bayes theorem
Abstract:	The Bayes theorem can be stated that the posterior probability is proportional to the product of prior probability and the likelihood. The principle of maximum likelihood states that, when confronted with a choice of hypotheses, we choose that one which maximizes the likelihood. Now consider a likelihood function with known parameter(s). We call this prior likelihood. The posterior likelihood is the product of the prior likelihood and the likelihood. The desired parameter(s) will be obtained by maximizing the posterior likelihood.

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 2004 program