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

Raftery, Adrian E.; Bao, Le - In: Biometrics 66 (2010) 4, pp. 1162-1173

Persistent link: https://www.econbiz.de/10010947095

Estimates of Age-Specific Reductions in HIV Prevalence in Uganda: Bayesian Melding Estimation and Probabilistic Population Forecast with an HIV-enabled Cohort Component Projection Model

Clark, Samuel J.; Thomas, Jason; Bao, Le - In: Demographic Research 27 (2012) 26, pp. 743-774

We estimate age-specific HIV incidence and prevalence in Tanzania and Uganda in the late 1990s and forecast forward assuming no change in incidence. Comparisons between our forecasts of HIV prevalence and direct measures from the HIV/AIDS Indicator and Demographic and Health Surveys in the...

Persistent link: https://www.econbiz.de/10010711738

Stochastic Processes and Models, David Stirzaker

Fricks, John - In: Journal of the American Statistical Association 102 (2007) March, pp. 381-381

Persistent link: https://www.econbiz.de/10005430271

A Mixture Model for Quantum Dot Images of Kinesin Motor Assays

Hughes, John; Fricks, John - In: Biometrics 67 (2011) 2, pp. 588-595

Persistent link: https://www.econbiz.de/10010946884

Tracking measles infection through non‐linear state space models

Chen, Shi; Fricks, John; Ferrari, Matthew J. - In: Journal of the Royal Statistical Society Series C 61 (2012) 1, pp. 117-134

Persistent link: https://www.econbiz.de/10011033934

A STOCHASTIC RICHARDSON'S ARMS RACE MODEL

Fricks, John; Swift, Randall - In: American journal of mathematical and management sciences 21 (2001) 3-4, pp. 313-324

Persistent link: https://www.econbiz.de/10006829360

Statistical challenges in microrheology

Didier, Gustavo; McKinley, Scott A.; Hill, David B.; … - In: Journal of Time Series Analysis 33 (2012) 5, pp. 724-743

Persistent link: https://www.econbiz.de/10010568330

Tracking measles infection through non‐linear state space models

Chen, Shi; Fricks, John; Ferrari, Matthew J. - In: Journal of the Royal Statistical Society / C 61 (2012) 1, pp. 117-135

Persistent link: https://www.econbiz.de/10009822668

Inferring likelihoods and climate system characteristics from climate models and multiple tracers

Bhat, K. Sham; Haran, Murali; Olson, Roman; Keller, Klaus - In: Environmetrics 23 (2012) 4, pp. 345-362

Persistent link: https://www.econbiz.de/10010826409

Emulating a gravity model to infer the spatiotemporal dynamics of an infectious disease

Jandarov, Roman; Haran, Murali; Bjørnstad, Ottar; … - In: Journal of the Royal Statistical Society Series C 63 (2014) 3, pp. 423-444

type="main" xml:id="rssc12042-abs-0001" <p>Probabilistic models for infectious disease dynamics are useful for understanding the mechanism underlying the spread of infection. When the likelihood function for these models is expensive to evaluate, traditional likelihood-based inference may be...</p>

Persistent link: https://www.econbiz.de/10011033941