A hierarchical Bayesian approach for parameter estimation in HIV models

被引：13

作者：

Banks, HT ^{[1
]}

Grove, S

Hu, S

Ma, YY

机构：

[1] N Carolina State Univ, Ctr Res Sci Computat, Raleigh, NC 27695 USA

[2] Texas A&M Univ, Dept Stat, College Stn, TX 77843 USA

来源：

INVERSE PROBLEMS | 2005年 / 21卷 / 06期

关键词：

D O I：

10.1088/0266-5611/21/6/001

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

A hierarchical Bayesian approach is developed to estimate parameters at both the individual and the population levels in a HIV model, with the implementation carried out by Markov Chain Monte Carlo (MCMC) techniques. Sample numerical simulations and statistical results are provided to demonstrate the feasibility of this approach.

引用

页码：1803 / 1822

页数：20

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