Estimating and Projecting Trends in HIV/AIDS Generalized Epidemics Using Incremental Mixture Importance Sampling

Keyphrases

• AIDS/HIV 100%
• Importance Sampling 100%
• Posterior Distribution 66%
• United Nations 33%
• Publicly Available 33%
• Expert Opinion 33%
• Epidemiological Model 33%
• Simulation Experiment 33%
• Computational Efficiency 33%
• Prevalence Data 33%
• Markov Chain Monte Carlo Algorithm 33%
• Probabilistic Projections 33%
• Model Averaging 33%
• HIV Prevalence 33%
• Bayesian Model Comparison 33%
• UNAIDS 33%
• Bayesian Melding 33%

Mathematics

• Importance Sampling 100%
• Posterior Distribution 33%
• Markov Chain Monte Carlo 16%
• Bayesian 16%
• Real Data 16%
• Ridge 16%
• Monte Carlo Algorithm 16%
• Bayesian Model Comparison 16%
• Likelihood 16%