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Monte Carlo methods / Bayesian statistics / Computational statistics / Importance sampling / Markov chain Monte Carlo / Bayes factor / Fisher information / Maximum a posteriori estimation / Likelihood function / Statistics / Estimation theory / Bayesian inference


DOI: [removed]j[removed]01399.x Biometrics 66, 1162–1173 December[removed]Estimating and Projecting Trends in HIV/AIDS Generalized
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Document Date: 2011-05-24 20:39:46

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City

Seattle / /

Company

Cox / UNAIDS Reference Group / Monte Carlo / Stephens / /

Country

Zimbabwe / United States / Ghana / /

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Facility

University of Washington / /

IndustryTerm

importance sampling algorithm / importance sampling algorithms / /

Organization

University of Washington / HIV/AIDS Generalized Epidemics Using Incremental Mixture Importance Sampling Adrian E. Raftery∗ and Le Bao Department of Statistics / United Nations / UNAIDS / UNAIDS Secretariat / /

Person

George / Clyde / IMIS IMIS / Quinn / Martin / /

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Position

representative / standard EPP model / M1 / /

ProvinceOrState

Washington / /

Technology

resamples J. The algorithm / three generic Metropolis algorithms / generic Metropolis algorithms / importance sampling algorithm / importance sampling algorithms / random-walk Metropolis algorithm / 3.1 Basic IMIS Algorithm / SIR algorithm / second generic Metropolis algorithm / simulation / IMIS algorithm / generic random-walk Metropolis algorithms / /

URL

http /

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