A hierarchical Bayesian approach for parameter estimation in HIV models
Harvey Thomas Banks, Sarah Lynn Grove, Shuhua Hu, Yanyuan Ma · Inverse Problems · 2005
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.