Nonlinear models for the analysis of repeated measurements: a Bayesian approach

• Grant number: 98/11497-1
• Support Opportunities: Scholarships abroad - Research
• Start date: February 01, 1999
• End date: July 31, 2000
• Field of knowledge: Physical Sciences and Mathematics - Probability and Statistics - Applied Probability and Statistics
• Principal Investigator: Roseli Aparecida Leandro
• Grantee: Roseli Aparecida Leandro
• Host Investigator: Antony O' Hagan
• Host Institution: Escola Superior de Agricultura Luiz de Queiroz (ESALQ). Universidade de São Paulo (USP). Piracicaba , SP, Brazil
• Institution abroad: University of Sheffield, England

Abstract

The idea for this research arose from a study of nonlinear regression models for repeated measurements at the point of view of the classical inference - we saw that methods for repeated measurement data where the relationship the measured response, y, and the covariate x is nonlinear in the unknown parameters are less developed in the literature and that computational advances such as Gibbs Sampler and Metropolis - Hastings show great promise for the future of the Bayesian approach. (AU)