Alan E. Gelfand
James B. Duke Emeritus Professor of Statistical Science
Double MOCHA: Phase II Multi-study Ocean acoustic Human effects Analysis awarded by University of St. Andrews (Co-Principal Investigator). 2018 to 2021
EAGER-NEON: Probabilistic forecasting of biodiversity response to intensifying drought: A proposal to combine NEON with national climate, species, and trait data bases awarded by National Science Foundation (Investigator). 2015 to 2018
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
Gelfand, AE. "Gibbs sampling." Statistics in the 21st Century. January 1, 2001. 341-349.
Wang, F, Bhattacharya, A, and Gelfand, AE. "Rejoinder on: Process modeling for slope and aspect with application to elevation data maps." Test 27.4 (December 1, 2018): 783-786. Full Text
Lu, X, Gelfand, AE, and Holland, DM. "Local real-time forecasting of ozone exposure using temperature data." Environmetrics 29.7 (November 1, 2018). Full Text
Schliep, EM, Gelfand, AE, Clark, JS, and Kays, R. "Joint Temporal Point Pattern Models for Proximate Species Occurrence in a Fixed Area Using Camera Trap Data." Journal of Agricultural, Biological, and Environmental Statistics 23.3 (September 1, 2018): 334-357. Full Text
Wang, F, Wang, J, Gelfand, AE, and Li, F. "Disease Mapping With Generative Models(Accepted)." American Statistician (July 12, 2018): 1-11. Full Text
Schliep, EM, Gelfand, AE, Mitchell, RM, Aiello-Lammens, ME, and Silander, JA. "Assessing the joint behaviour of species traits as filtered by environment." Methods in Ecology and Evolution 9.3 (March 1, 2018): 716-727. 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 1, 2017): 89-106. 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 1, 2017): 149-165. Full Text
Ahn, S, Chertkov, M, Gelfand, AE, Park, S, and Shin, J. "Maximum weight matching using odd-sized cycles: Max-product belief propagation and half-integrality." March 1, 2018. Full Text
Caponera, A, Denti, F, Rigon, T, Sottosanti, A, and Gelfand, A. "Hierarchical spatio-temporal modeling of resting state fMRI data." January 1, 2018. 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
"Markov-modulated marked poisson processes for check-in data." January 1, 2016.
Chertkov, M, Gelfand, A, and Shin, J. "Loop calculus and bootstrap-belief propagation for perfect matchings on arbitrary graphs." January 1, 2013. Full Text
Shin, J, Gelfand, AE, and Chertkov, M. "A graphical transformation for belief propagation: Maximum Weight Matchings and odd-sized cycles." January 1, 2013.
Gelfand, AE, and Welling, M. "Generalized belief propagation on tree robust structured region graphs." December 1, 2012.
Welling, M, Gelfand, AE, and Ihler, A. "A cluster-cumulant expansion at the fixed points of belief propagation." December 1, 2012.
Chen, Y, Gelfand, A, Fowlkes, CC, and Welling, M. "Integrating local classifiers through nonlinear dynamics on label graphs with an application to image segmentation." December 1, 2011. Full Text