Alan E. Gelfand

Alan E. Gelfand

James B. Duke Emeritus Professor of Statistical Science

External address: 
223A Old Chem Bldg, Durham, NC 27708
Internal office address: 
Box 90251, Durham, NC 27708-0251
(919) 668-5229

Selected Grants

Double MOCHA: Phase II Multi-study Ocean acoustic Human effects Analysis awarded by University of St. Andrews (Co-Principal Investigator). 2018 to 2021

EMSW21-RTG: Geometric, Topological awarded by National Science Foundation (Key Faculty). 2011 to 2018

Collaborative Research: Climate Change Impacts on Forest Biodiversity: Individual Risk to Subcontinental Impacts awarded by National Science Foundation (Co-Principal Investigator). 2012 to 2017

CDI-Type II: Integrating Algorithmic and Stochastic Modeling Techniques for Environmental Prediction awarded by National Science Foundation (Co-Principal Investigator). 2009 to 2014

Space-time Modeling for Linking Climate Change, Pollutant Exposure, Built Environments, and Health Outcomes awarded by North Carolina State University (Principal Investigator). 2011 to 2014

Dynamic Sensor Networks-Enabling the Measurement, Modeling, and Prediction of Biophysical Change in a Landscape awarded by National Science Foundation (Co-Principal Investigator). 2006 to 2012

Sharing Confidential Datasets With Geographic Identifiers Via Multiple Imputation awarded by National Institutes of Health (Co Investigator). 2009 to 2012

Public Health Research Grant awarded by Centers for Disease Control and Prevention (Principal Investigator). 2008 to 2009

Bayesian Nonparametric Methods for Spatial and Spatiotemporal Data awarded by National Science Foundation (Principal Investigator). 2005 to 2009


Trevisani, M, and Gelfand, A. "Spatial misalignment models for small area estimation: A simulation study." Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies. January 1, 2013. 269-279. Full Text

Gelfand, AE, Banerjee, S, and Finley, AO. "Spatial Design for Knot Selection in Knot-Based Dimension Reduction Models." Spatio-temporal Design: Advances in Efficient Data Acquisition. October 11, 2012. 142-169. Full Text

Schliep, EM, Gelfand, AE, and Holland, DM. "Alternating Gaussian Process Modulated Renewal Processes for Modeling Threshold Exceedances and Durations." Stochastic Environmental Research and Risk Assessment : Research Journal 32.2 (February 2018): 401-417. Full Text

Wang, F, Wang, J, Gelfand, A, and Li, F. "Accommodating the ecological fallacy in disease mapping in the absence of individual exposures." Statistics in Medicine 36.30 (December 2017): 4930-4942. Full Text Open Access Copy

White, P, Gelfand, A, and Utlaut, T. "Prediction and model comparison for areal unit data." Spatial Statistics 22 (November 2017): 89-106. Full Text

Wang, F, Wang, J, Gelfand, AE, and Li, F. "Disease Mapping With Generative Models." The American Statistician (October 30, 2017): 1-11. Full Text

Paci, L, Beamonte, MA, Gelfand, AE, Gargallo, P, and Salvador, M. "Analysis of residential property sales using space–time point patterns." Spatial Statistics 21 (August 2017): 149-165. Full Text

Shirota, S, and Gelfand, AE. "Approximate Bayesian Computation and Model Assessment for Repulsive Spatial Point Processes." Journal of Computational and Graphical Statistics 26.3 (July 3, 2017): 646-657. Full Text

Shirota, S, and Gelfand, AE. "Space and circular time log Gaussian Cox processes with application to crime event data." The Annals of Applied Statistics 11.2 (June 2017): 481-503. Full Text

Leininger, TJ, and Gelfand, AE. "Bayesian Inference and Model Assessment for Spatial Point Patterns Using Posterior Predictive Samples." Bayesian Analysis 12.1 (March 2017): 1-30. Full Text

Gelfand, AE, and Banerjee, S. "Bayesian Modeling and Analysis of Geostatistical Data." Annual Review of Statistics and Its Application 4 (March 2017): 245-266. Full Text

Schliep, EM, Gelfand, AE, Clark, JS, and Tomasek, BJ. "Biomass prediction using a density-dependent diameter distribution model." The Annals of Applied Statistics 11.1 (March 2017): 340-361. Full Text


Yu, R, Gelfand, A, Rajan, S, Shahabi, C, and Liu, Y. "Geographic segmentation via latent poisson factor model." February 8, 2016. Full Text

Pan, J, Rao, V, Agarwal, PK, and Gelfand, AE. "Markov-modulated marked poisson processes for check-in data." January 1, 2016.

Gelfand, AE, Shin, J, and Chertkov, M. "Belief propagation for linear programming." December 19, 2013. Full Text

Welling, M, Gelfand, AE, and Ihler, A. "A cluster-cumulant expansion at the fixed points of belief propagation." December 1, 2012.

Gelfand, AE, and Welling, M. "Generalized belief propagation on tree robust structured region graphs." December 1, 2012.

Kask, K, Gelfand, A, Otten, L, and Dechter, R. "Pushing the power of stochastic greedy ordering schemes for inference in graphical models." November 2, 2011.