Susan Paddock’s statistical research interests and activities over the past several years have focused mostly on developing Bayesian methodology in the following areas
- Hierarchical modeling
- Loss function-based ranking
- Non-parametric modeling for addressing simultaneous inferential targets
- Missing data
- Multiple imputation using a nonparametric Bayesian (e.g., Polya tree prior) approach
- Non-ignorable non-response
- Prior elicitation in pattern-mixture modeling
- Nonparametric Bayes / Polya tree priors
- Multivariate Polya tree priors
- Partition dependence
- Missing data modeling using Polya trees
Hierarchical modeling publications
Missing data publications
Bayesian nonparametrics publications
Paddock SM (2002) Bayesian Nonparametric Multiple Imputation of Partially Observed Data with Ignorable Nonresponse. Biometrika, 89(3), 529-538
Updated May 6, 2007