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Journal of the American Statistical Association Volume 116, 2021 - Issue 534
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Applications and Case Studies

Modeling Multiple Time-Varying Related Groups: A Dynamic Hierarchical Bayesian Approach With an Application to the Health and Retirement Study

Kiranmoy Dasa Applied Statistics Division, Indian Statistical Institute, Kolkata, India;Correspondence[email protected]
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,
Pulak Ghoshb Decision Sciences & Center of Public Policy, Indian Institute of Management, Bangalore, India;View further author information
&
Michael J. Danielsc Department of Statistics, University of Florida, Gainesville, FLView further author information
Pages 558-568 | Received 01 Dec 2017, Accepted 01 Feb 2021, Published online: 27 Apr 2021

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Modeling Multiple Time-Varying Related Groups: A Dynamic Hierarchical Bayesian Approach With an Application to the Health and Retirement Study
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