Work

Bayesian estimation of simplex distribution nonlinear mixed models for longitudinal data

Year: 2014

Type: article

Abstract: 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.

Source: International Journal of Applied Mathematics & Statistics/International journal of applied mathematics and statistics

Authors: Yuanying Zhao, Dengke Xu, Xingde Duan, Liang Dai

Language: English

Topic: Statistical Methods and Bayesian Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W1908173606

FWCI: 0.29

Cites:

Cited by: 4

Related to: 10