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Research Interests for David B. Dunson

Research Interests: Nonparametric Bayes, Latent variable methods, Model uncertainty, Applications in epidemiology & genetics, Machine learning

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.

Action Potentials, Algorithms, Artificial Intelligence, B-Lymphocytes, Bayes Theorem, Computer Simulation, Data Interpretation, Statistical, DNA-Binding Proteins, Electrophysiological Phenomena, Epidemiologic Methods, Gene Dosage, Genetic Association Studies, Germinal Center, Longitudinal Studies, Markov Chains, Models, Statistical, Models, Theoretical, Monte Carlo Method, Multivariate Analysis, Neurons, Pattern Recognition, Automated, Phenotype, Probability, Stochastic differential equations
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
Areas of Interest:

Functional data analysis
Latent variable methods
Machine learning
Molecular epidemiology
Nonparametric Bayes
Order restricted inference
Model selection and averaging

Representative Publications   (search)
  1. Dunson, DB, Nonparametric Bayes local partition models for random effects, Biometrika, vol. 96 no. 2 (2009), pp. 249-262, ISSN 0006-3444 [doi[abs]
  2. Bigelow, JL; Dunson, DB, Bayesian semiparametric joint models for functional predictors, Journal of the American Statistical Association, vol. 104 no. 485 (2009), pp. 26-36, ISSN 0162-1459 [doi[abs]
  3. Dunson, DB; Xing, C, Nonparametric bayes modeling of multivariate categorical data, Journal of the American Statistical Association, vol. 104 no. 487 (2009), pp. 1042-1051, ISSN 0162-1459 [doi[abs]
  4. Dunson, DB; Park, J-H, Kernel stick-breaking processes, Biometrika, vol. 95 no. 2 (2008), pp. 307-323, ISSN 0006-3444 [doi[abs]
  5. Dunson, DB; Herring, AH; Engel, SM, Bayesian Selection and Clustering of Polymorphisms in Functionally Related Genes, Journal of the American Statistical Association, vol. 103 no. 482 (2008), pp. 534-546, ISSN 0162-1459 [doi[abs]
ph: 919.660.2800
fax: 919.660.2821

Mathematics Department
Duke University, Box 90320
Durham, NC 27708-0320