Brown, S. orcid.org/0000-0002-4853-9115, Das,, K., Pareek,, B. et al. (1 more author) (2017) A Semiparametric Bayesian Approach to a New Dynamic Zero-Inflated Model. Report. Sheffield Economic Research Paper Series, 201700 . Department of Economics , University of Sheffield.
Abstract
We develop a dynamic zero-inflated model to analyse the number of hospital admissions within an aging population, which allows for the considerable number of zero hospital admissions at the individual level and occurrence dependence. In addition, certain health conditions may lead to groups of individuals having similar hospital admission rates. We analyse the US Health and Retirement Survey, which includes selfassessed health (SAH), which can be predictive of hospital admissions. Our modelling framework embeds a dynamic hierarchical matrix stick-breaking process to flexibly characterize this dynamic group structure allowing individuals to belong to different SAH groups at different points in time.
Metadata
Item Type: | Monograph |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2017 The Author(s). For reuse permissions, please contact the Author(s) |
Keywords: | Bayesian models; Dirichlet process; Dynamic hurdle; Lasso; Matrix stickbreaking process; Zero-inflated data |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Economics (Sheffield) > Sheffield Economics Research Papers Series The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Economics (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 04 May 2017 15:30 |
Last Modified: | 04 May 2017 15:30 |
Status: | Published |
Publisher: | Department of Economics |
Series Name: | Sheffield Economic Research Paper Series |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:112702 |