Duke Institute for Brain Sciences

I work on the development and application of flexible Bayesian statistical methods for complex multivariate, dynamic and functional data. Neuroscience data provide a number of statistical challenges, which I am interested in addressing using Bayesian nonparametrics.

Ph.D., Emory University, Biostatistics, 1997

B.S., Pennsylvania State University, Mathematics, 1994

Dunson, D.B. and Xing, C. (2009). Bayesian nonparametric modeling of multi-variate unordered categorical data. Journal of the American Statistical Association 104, 1042-1051.

Bigelow, J. and Dunson, D.B. (2009). Bayesian semiparametric joint models for functional predictors. Journal of the American Statistical Association 104, 26-36.

Rodriguez, A., Dunson, D.B. and Gelfand, A.E. (2008). The nested Dirichlet process (with discussion). Journal of the American Statistical Association 103, 1131-1144.