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
Phone: 
(919) 668-5229

Selected Grants

Double MOCHA: Phase II Multi-study Ocean acoustic Human effects Analysis awarded by (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 (Principal Investigator). 2008 to 2009

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

Pages

Shen, Y., and A. E. Gelfand. “Exploring geometric anisotropy for point-referenced spatial data.” Spatial Statistics, vol. 32, Aug. 2019. Scopus, doi:10.1016/j.spasta.2019.100370. Full Text

White, P. A., et al. “Pollution state modelling for Mexico City.” Journal of the Royal Statistical Society. Series A: Statistics in Society, vol. 182, no. 3, June 2019, pp. 1039–60. Scopus, doi:10.1111/rssa.12444. Full Text

Gelfand, A. E., and S. Shirota. “Preferential sampling for presence/absence data and for fusion of presence/absence data with presence-only data.” Ecological Monographs, vol. 89, no. 3, Jan. 2019. Scopus, doi:10.1002/ecm.1372. Full Text

Paci, L., et al. “Spatial hedonic modelling adjusted for preferential sampling.” Journal of the Royal Statistical Society. Series A: Statistics in Society, Jan. 2019. Scopus, doi:10.1111/rssa.12489. Full Text

Sfiridis, J. M., and A. E. Gelfand. “A survey of sampling-based bayesian analysis of financial data.” International Journal of Phytoremediation, vol. 21, no. 1, Jan. 2002, pp. 273–91. Scopus, doi:10.1080/1350486022000026885. Full Text