# David B. Dunson

- Arts and Sciences Professor of Statistical Science
- Professor of Statistical Science
- Professor in the Department of Electrical and Computer Engineering (Secondary)
- Faculty Network Member of the Duke Institute for Brain Sciences

**External address:**218 Old Chemistry Bldg, Durham, NC 27708

**Internal office address:**Box 90251, Durham, NC 27708-0251

**Phone:**(919) 684-8025

Development of Bayesian statistical methods and approaches for uncertainty quantification motivated by applications with complex and high-dimensional data. A particular interest is in high-dimensional low sample size data in which it is necessary to incorporate dimensional reduction through carefully designed prior distributions and challenges arise in efficiently computing posterior approximations. Ongoing focus areas include new algorithms for approximating posterior distributions in big data settings, nonparametric Bayes probability modeling allowing for uncertainty in distributional assumptions, analysis of network data, incorporating physical and geometric prior knowledge in modeling and novel models for dimension reduction for "object data" (functions, tensors, shapes, etc). Primary application areas include genomics, neurosciences, epidemiology, and reproductive studies but with much broader interests in developing new methods motivated by difficult applications (in art, music, radar, imaging processing, etc).

Canale, A, and Dunson, DB. "Bayesian multivariate mixed-scale density estimation." *Statistics and Its Interface* 8.2 (2015): 195-201.
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Kessler, DC, Hoff, PD, and Dunson, DB. "Marginally specified priors for non-parametric Bayesian estimation." *Journal of the Royal Statistical Society. Series B: Statistical Methodology* 77.1 (January 1, 2015): 35-58.
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Kessler, DC, Hoff, PD, and Dunson, DB. "Marginally specified priors for non-parametric Bayesian estimation." *Journal of the Royal Statistical Society. Series B, Statistical methodology* 77.1 (January 2015): 35-58.
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Durante, D, and Dunson, DB. "Nonparametric Bayes dynamic modelling of relational data." *Biometrika* 101.4 (December 1, 2014): 883-898.
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Durante, D, and Dunson, DB. "Bayesian dynamic financial networks with time-varying predictors." *Statistics & Probability Letters* 93 (October 2014): 19-26.
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Gu, K, Pati, D, and Dunson, DB. "Bayesian Multiscale Modeling of Closed Curves in Point Clouds." *Journal of the American Statistical Association* 109.508 (October 2014): 1481-1494.
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Kundu, S, and Dunson, DB. "Latent factor models for density estimation." *Biometrika* 101.3 (September 1, 2014): 641-654.
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Rodriguez, A, and Dunson, DB. "Functional clustering in nested designs: Modeling variability in reproductive epidemiology studies." *The Annals of Applied Statistics* 8.3 (September 2014): 1416-1442.
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Dunson, DB. "Comment." *Journal of the American Statistical Association* 109.507 (July 3, 2014): 890-891.
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Wheeler, MW, Dunson, DB, Pandalai, SP, Baker, BA, and Herring, AH. "Mechanistic Hierarchical Gaussian Processes." *Journal of the American Statistical Association* 109.507 (July 2014): 894-904.
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