David B. Dunson, Professor
- Contact Info:
- 218 Old Chemistry Building
- (919) 684-8025
- dunson@stat.duke.edu
- Personal Web Page:
- http://www.stat.duke.edu/~dunson/
- Office Hours:
- Thurs 9-10am
- Education:
- PhD, Emory University, 1997
- Research Interests: Nonparametric Bayes, Latent variable methods, Model uncertainty, Applications in epidemiology & genetics, Machine learning
Current projects: Nonparametric Bayes methods for conditional distributions, Semiparametric methods for high-dimensional predictors, New priors for functional data analysis, Borrowing information across disparate data sources, Methods for identifying gene x environmental interactions
Development of Bayesian methods motivated by applications with complex and high-dimensional data. A particular focus is on nonparametric Bayes approaches for conditional distributions and for flexible borrowing of information. I am also interested in methods for accommodating model uncertainty in hierarchical models, and in latent variable methods, including structural equation models. A recent interest has been in functional data analysis.
- Representative Publications
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- D.B. Dunson. "Nonparametric Bayes local partition models for random effects." Biometrika 96 (2009): 249-262.
- J.L. Bigelow and D.B. Dunson. "Bayesian semiparametric joint models for functional predictors." Journal of the American Statistical Association 104 (2009): 26-36.
- D.B. Dunson and Chuanhua Xing. "Nonparametric Bayes modeling of multivariate categorical data." Journal of the American Statistical Association 104 (2009): 1042-1051.
- D.B. Dunson and J-H. Park. "Kernel stick-breaking processes." Biometrika 95 (2008): 307-323.
- D.B. Dunson, A.H. Herring and S.M. Engel. "Bayesian selection and clustering of polymorphisms in functionally-related genes." Journal of the American Statistical Association 103 (2008): 534-546.