Bayesian estimation of simplex distribution nonlinear mixed models for longitudinal data
Yuanying Zhao, Dengke Xu, Xingde Duan, Liang Yuan Dai · International Journal of Applied Mathematics & Statistics/International journal of applied mathematics and statistics · 2014
The main thrust of this paper is to study Bayesian analysis of simplex distribution nonlinear mixed models for longitudinal data. A hybrid algorithm that combines the Gibbs sampler and Metropolis-Hastings algorithm is implemented to produce the joint Bayesian estimates of parameters and random effects. Simulation studies and a real example are presented to illustrate the methodologies.