Modeling Multiple Time-Varying Related Groups: A Dynamic Hierarchical Bayesian Approach With an Application to the Health and Retirement Study
| Autor: | Kiranmoy Das, Pulak Ghosh, Michael J. Daniels |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Statistics and Probability
education.field_of_study Computer science 05 social sciences Bayesian probability Population Physical health Markov chain Monte Carlo Health and Retirement Study 01 natural sciences Financial health 010104 statistics & probability symbols.namesake Lasso (statistics) 0502 economics and business Econometrics Multiple time symbols 0101 mathematics Statistics Probability and Uncertainty education 050205 econometrics |
| Zdroj: | Journal of the American Statistical Association. 116:558-568 |
| ISSN: | 1537-274X 0162-1459 |
| DOI: | 10.1080/01621459.2021.1886105 |
| Popis: | As the population of the older individuals continues to grow, it is important to study the relationship among the variables measuring financial health and physical health of the older individuals t... |
| Databáze: | OpenAIRE |
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