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
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
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
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
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.
Chertkov, M, Gelfand, A, and Shin, J. "Loop calculus and bootstrap-belief propagation for perfect matchings on arbitrary graphs." December 16, 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.
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.
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
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.