JSM 2004 Online Program

Abstract #301422

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Activity Number:	386
Type:	Contributed
Date/Time:	Wednesday, August 11, 2004 : 2:00 PM to 3:50 PM
Sponsor:	Section on Bayesian Statistical Science
Abstract - #301422
Title:	Bayesian Cluster Analysis for Longitudinal Data
Author(s):	Rolando de la Cruz-Mesía*+
Companies:	Pontificia Universidad Católica de Chile
Address:	Departamento de Estadística, Santiago, International, 6904411, Chile
Keywords:	cluster analysis ; longitudinal data ; MCMC methods ; nonlinear hierarchical models
Abstract:	Cluster analysis is an important exploratory tool for analyzing many types of data. In particular, we explore the problem of clustering longitudinal data, under the form of multiple nonlinear profiles. We introduce a general finite mixture of nonlinear hierarchical models for longitudinal data. Parameter estimation is done via appropriate posterior simulation schemes. We illustrate our Bayesian method with the analysis of a real dataset. We use the example to compare our Bayesian approach with a classical method based on the EM algorithm.

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