David B. Dunson

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).

Education & Training
  • Ph.D., Emory University 1997

  • B.S., Pennsylvania State University 1994

Selected Grants

Exome-wide screening for common mutations in lymphoma awarded by National Institutes of Health (Investigator). 2011 to 2013

Transfer and Active Learning for Intent Recognition awarded by Office of Naval Research (Investigator). 2008 to 2012


McKinney, M, Moffitt, AB, Gaulard, P, Travert, M, De Leval, L, Nicolae, A, Raffeld, M, Jaffe, ES, Pittaluga, S, Xi, L, Heavican, T, Iqbal, J, Belhadj, K, Delfau-Larue, MH, Fataccioli, V, Czader, MB, Lossos, IS, Chapman-Fredricks, JR, Richards, KL, Fedoriw, Y, Ondrejka, SL, Hsi, ED, Low, L, Weisenburger, D, Chan, WC, Mehta-Shah, N, Horwitz, S, Bernal-Mizrachi, L, Flowers, CR, Beaven, AW, Parihar, M, Baseggio, L, Parrens, M, Moreau, A, Sujobert, P, Pilichowska, M, Evens, AM, and Chadburn, A et al. "The Genetic Basis of Hepatosplenic T-cell Lymphoma." Cancer discovery 7.4 (April 2017): 369-379. Full Text

Dunson, DB. "Toward Automated Prior Choice." Statistical Science 32.1 (February 2017): 41-43. Full Text

Abrego, N, Dunson, D, Halme, P, Salcedo, I, and Ovaskainen, O. "Wood-inhabiting fungi with tight associations with other species have declined as a response to forest management." Oikos 126.2 (February 2017). Full Text

Lin, L, St Thomas, B, Zhu, H, and Dunson, DB. "Extrinsic local regression on manifold-valued data." Journal of the American Statistical Association 112.519 (January 2017): 1261-1273. Full Text

Durante, D, Dunson, DB, and Vogelstein, JT. "Nonparametric Bayes Modeling of Populations of Networks." JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION 112.520 (2017): 1516-1530. Full Text

Johndrow, JE, Bhattacharya, A, and Dunson, DB. "TENSOR DECOMPOSITIONS AND SPARSE LOG-LINEAR MODELS." Annals of statistics 45.1 (January 2017): 1-38. Full Text

Lin, L, Rao, V, and Dunson, D. "Bayesian nonparametric inference on the Stiefel manifold." Statistica Sinica (2017). Full Text

Datta, J, and Dunson, DB. "Bayesian inference on quasi-sparse count data." Biometrika 103.4 (December 8, 2016): 971-983. Full Text

Bhattacharya, A, Dunson, DB, Pati, D, and Pillai, NS. "Sub-optimality of some continuous shrinkage priors." Stochastic Processes and their Applications 126.12 (December 2016): 3828-3842. Full Text

Durante, D, and Dunson, DB. "Locally adaptive dynamic networks." The Annals of Applied Statistics 10.4 (December 2016): 2203-2232. Full Text