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Using multiple data sources to estimate and forecast child obesity

Bryant, J, Rittirong, J, Aekplakorn, W, Mo-suwan, L, and Nitnara, P. 2022. A Bayesian approach to combining multiple information sources: Estimating and forecasting childhood obesity in ThailandPLOS ONE. 21 January 2022.

Estimating obesity rates for very small groups

Rittirong, J, Bryant, J, Aekplakorn, W, Prohmmo, A, and Sunpuwan, W. 2021. Obesity and occupation in Thailand: using a Bayesian hierarchical model to obtain prevalence estimates from the National Health Examination SurveyBMC Public Health 21(914).

Forecasting migration with very small counts

Zhang, J,  and Bryant, J. 2020. Bayesian disaggregated forecasts: Internal migration in Iceland. S Mazzuco and N Keilman. Developments in Demographic Forecasting. Springer.

Bayesian benchmarking of small area estimates

Zhang, J,  and Bryant, J. 2020. Fully Bayesian benchmarking of small area estimation models.  Journal of Official Statistics. 36(1): 197-223.

Combining multiple imperfect data sources for small area estimation

Zhang, J,  and Bryant, J. 2019. Combining multiple imperfect data sources for small area estimation: a Bayesian model of provincial fertility rates in Cambodia.  Statistical Theory and Related Fields. 3(2): 178-185.

Brief introduction to Bayesian demography

Bijak, J,  and Bryant, J. 2019. Bayesian demography. Statistics Reference Online,  John Wiley & Sons, Ltd.

Bayesian small area demography

Zhang, J, Bryant, J, and Nissen, K. 2019. Bayesian small area demography.  Survey Methodology. 45(1).

Bayesian forecasting of demographic rates for small areas

Bayesian demography 250 years after Bayes

Bijak, J and Bryant, J. 2016. Bayesian demography 250 years after Bayes. Population Studies. 70(1): 1–19.

Probabilistic forecasts for informed decision making

Bijak, J, Alberts, I, Alho, J,  Bryant, J, Buettner, T, Falkingham, J, Forster, J, Gerland, P, King, T, Onorante, L, Keilman, N, O’Hagan, A, Owens, D, Raftery, A, Ševčíková, H, Smith, P. 2016. Letter to the Editor: Probabilistic population forecasts for informed decision making. Journal of Official Statistics. 31(4): 537–544.

A Bayesian approach to population estimation

Bryant, J and Graham, P. 2015. A Bayesian approach to population estimation with administrative data. Journal of Official Statistics. 31(3). 

Bayesian demographic accounts

Bryant, J and Graham, P. 2013. Bayesian demographic accounts: Subnational population estimation using multiple data sources. Bayesian Analysis. 8(3): 591-622.

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