A Bayesian approach to nonlinear random effects models
Related Experiment Videos
Biometrics
|December 1, 1985
Abstract:
Nonlinear random effects models are considered from the Bayesian point of view. The method of analysis follows closely that of Lindley and Smith (1972, Journal of the Royal Statistical Society, Series B 34, 1-42). The numerical method is related to the EM algorithm.