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Math and Stat Profile

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D. Andrew Brown

Mathematical and Statistical Sciences

Associate Professor

Martin Hall O309 [Office]


Educational Background

PhD, Statistics, University of Georgia, 2013
MS, Statistics, University of Georgia, 2010
BS, Applied Mathematics, Georgia Tech, 2006

Research Interests

Uncertainty quantification, neuroimaging data analysis, Bayesian inverse problems, computer experiments, Gaussian Markov random fields

Selected Publications

Brown, D. A., McMahan, C. S., and Self, S. W. Sampling strategies for fast updating of Gaussian Markov random fields. The American Statistician, 75, 52-65, 2021.

Brown, D. A., Saibaba, A. K., and Vallelian, S. Low rank independence samplers in hierarchical Bayesian inverse problems. SIAM/ASA Journal on Uncertainty Quantification, 6, 1076-1100, 2018.

Brown, D. A. and Atamturktur, S. Nonparametric functional calibration of computer models. Statistica Sinica, 28, 721-742, 2018.

Brown, D. A., Lazar, N. A., Datta, G. S., Jang, W., and McDowell, J. E. Incorporating spatial dependence into Bayesian multiple testing of statistical parametric maps in functional neuroimaging. NeuroImage, 84, 97-112, 2014.


American Statistical Association
International Society for Bayesian Analysis
Eastern North American Region of the International Biometric Society

Honors and Awards

Visiting Research Fellow, Statistical and Applied Mathematical Sciences Institute, Spring 2016.


American Statistical Association
International Society for Bayesian Analysis