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Jungsoon Choi

Showing results (1-10 of 34) with videos related to

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Geospatial Health|November 20, 2018
Bayesian zero-inflated spatio-temporal modelling of scrub typhus data in Korea, 2010-2014Dayun Kang, Jungsoon Choi
Journal of Applied Statistics|June 4, 2026
A Bayesian spatially-clustered coefficient model with temporal structures for hepatitis A data in South KoreaJaeseon Lee, Jungsoon Choi
Statistical Methods in Medical Research|June 18, 2016
Bayesian spatially dependent variable selection for small area health modelingJungsoon Choi, Andrew B Lawson
Statistical Methods in Medical Research|April 12, 2018
A Bayesian two-stage spatially dependent variable selection model for space-time health dataJungsoon Choi, Andrew B Lawson
Frontiers in Public Health|February 6, 2023
Investigating the spatio-temporal variation of hepatitis A in Korea using a Bayesian modelJaehong Jeong, Mijeong Kim, Jungsoon Choi
Computational Statistics & Data Analysis|August 5, 2009
Spatial-temporal association between fine particulate matter and daily mortalityJungsoon Choi, Montserrat Fuentes, Brian J Reich
Statistical Methods in Medical Research|May 5, 2012
Prior choice in discrete latent modeling of spatially referenced cancer survivalAndrew B Lawson, Jungsoon Choi, Jiajia Zhang
Scientific Reports|June 7, 2022
An analysis of the dynamic spatial spread of COVID-19 across South KoreaDayun Kang, Jungsoon Choi, Yeonju Kim, et al.
International Journal of Infectious Diseases : IJID : Official Publication of the International Society for Infectious Diseases|April 7, 2020
Spatial epidemic dynamics of the COVID-19 outbreak in ChinaDayun Kang, Hyunho Choi, Jong-Hun Kim, et al.
Environmetrics|December 21, 2011
Evaluation of Bayesian spatio-temporal latent models in small area health dataJungsoon Choi, Andrew B Lawson, Bo Cai, et al.
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
Geospatial Health|November 20, 2018
Bayesian zero-inflated spatio-temporal modelling of scrub typhus data in Korea, 2010-2014Dayun Kang, Jungsoon Choi
Journal of Applied Statistics|June 4, 2026
A Bayesian spatially-clustered coefficient model with temporal structures for hepatitis A data in South KoreaJaeseon Lee, Jungsoon Choi
Statistical Methods in Medical Research|June 18, 2016
Bayesian spatially dependent variable selection for small area health modelingJungsoon Choi, Andrew B Lawson
Statistical Methods in Medical Research|April 12, 2018
A Bayesian two-stage spatially dependent variable selection model for space-time health dataJungsoon Choi, Andrew B Lawson
Frontiers in Public Health|February 6, 2023
Investigating the spatio-temporal variation of hepatitis A in Korea using a Bayesian modelJaehong Jeong, Mijeong Kim, Jungsoon Choi
Computational Statistics & Data Analysis|August 5, 2009
Spatial-temporal association between fine particulate matter and daily mortalityJungsoon Choi, Montserrat Fuentes, Brian J Reich
Statistical Methods in Medical Research|May 5, 2012
Prior choice in discrete latent modeling of spatially referenced cancer survivalAndrew B Lawson, Jungsoon Choi, Jiajia Zhang
Scientific Reports|June 7, 2022
An analysis of the dynamic spatial spread of COVID-19 across South KoreaDayun Kang, Jungsoon Choi, Yeonju Kim, et al.
International Journal of Infectious Diseases : IJID : Official Publication of the International Society for Infectious Diseases|April 7, 2020
Spatial epidemic dynamics of the COVID-19 outbreak in ChinaDayun Kang, Hyunho Choi, Jong-Hun Kim, et al.
Environmetrics|December 21, 2011
Evaluation of Bayesian spatio-temporal latent models in small area health dataJungsoon Choi, Andrew B Lawson, Bo Cai, et al.
Pageof 4