A Hierarchical Bayesian Approach for Parameter Estimation in HIV Models
نویسندگان
چکیده
A hierarchical Bayesian approach is developed to estimate parameters at both the individual and the population level 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.
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