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Journal of Statistical Computation and Simulation Volume 85, 2015 - Issue 12
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Original Articles

Bayesian estimation of varying-coefficient models with missing data, with application to the Singapore Longitudinal Aging Study

Zhipeng HuangDepartment of Statistics and Applied Probability, National University of Singapore, Singapore, Singapore
,
Jialiang LiDepartment of Statistics and Applied Probability, National University of Singapore, Singapore, Singapore;Duke-NUS Graduate Medical School, Singapore, Singapore;Singapore Eye Research Institute, Singapore, SingaporeCorrespondence[email protected]
,
David NottDepartment of Statistics and Applied Probability, National University of Singapore, Singapore, Singapore
,
Lei FengDepartment of Psychological Medicine, Yong Loo Lin School of Medicine, Singapore, Singapore
,
Tze-Pin NgDepartment of Psychological Medicine, Yong Loo Lin School of Medicine, Singapore, Singapore
&
Tien-Yin WongSingapore Eye Research Institute, Singapore, Singapore
Pages 2364-2377 | Received 07 Jan 2014, Accepted 24 May 2014, Published online: 16 Jun 2014

Citations (6)

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Read on this site (1)

Tao Huang & Jialiang Li. (2018) Semiparametric model average prediction in panel data analysis. Journal of Nonparametric Statistics 30:1, pages 125-144.
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Articles from other publishers (5)

Fei Zhou, Jie Ren, Shuangge Ma & Cen Wu. (2023) The Bayesian regularized quantile varying coefficient model. Computational Statistics & Data Analysis 187, pages 107808.
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Jingli Wang & Jialiang Li. (2018) Semiparametric model averaging prediction: a Bayesian approach. Australian & New Zealand Journal of Statistics 60:4, pages 407-422.
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Han LiXinwei DengEric Smith. (2017) Missing data imputation for paired stream and air temperature sensor data. Environmetrics 28:1, pages e2426.
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Zhipeng Huang, Jialiang Li, Ching-Yu Cheng, Carol Cheung & Tien-Yin Wong. (2016) Bayesian reclassification statistics for assessing improvements in diagnostic accuracy. Statistics in Medicine 35:15, pages 2574-2592.
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Jeff Ching-Fu Hsieh, Susanna M. Cramb, James M. McGree, Nathan A. M. Dunn, Peter D. Baade & Kerrie L. Mengersen. (2016) Spatially Varying Coefficient Inequalities: Evaluating How the Impact of Patient Characteristics on Breast Cancer Survival Varies by Location. PLOS ONE 11:5, pages e0155086.
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