Alan E. Gelfand

James B. Duke Professor of Statistics and Decision Sciences

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

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

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

Collaborative QEIB Research: Spatio-temporal Modeling of Species Distributions and Biodiversity-Integrating Climate and awarded by National Science Foundation (Principal Investigator). 2005 to 2008

Pages

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

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

Paci, L, Gelfand, AE, Beamonte, MA, Rodrigues, M, and Pérez-Cabello, F. "Space-time modeling for post-fire vegetation recovery." Stochastic Environmental Research and Risk Assessment 31.1 (January 2017): 171-183. Full Text

Mastrantonio, G, Gelfand, AE, and Jona Lasinio, G. "The wrapped skew Gaussian process for analyzing spatio-temporal data." Stochastic Environmental Research and Risk Assessment 30.8 (December 2016): 2231-2242. Full Text

Gelfand, AE, and Schliep, EM. "Spatial statistics and Gaussian processes: A beautiful marriage." Spatial Statistics 18 (November 2016): 86-104. Full Text

Datta, A, Banerjee, S, Finley, AO, and Gelfand, AE. "On nearest-neighbor Gaussian process models for massive spatial data." Wiley Interdisciplinary Reviews: Computational Statistics 8.5 (September 2016): 162-171. Full Text

Mastrantonio, G, Jona Lasinio, G, and Gelfand, AE. "Spatio-temporal circular models with non-separable covariance structure." TEST 25.2 (June 2016): 331-350. Full Text

Datta, A, Banerjee, S, Finley, AO, and Gelfand, AE. "Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets." Journal of the American Statistical Association 111.514 (April 2, 2016): 800-812. Full Text

Schliep, EM, Gelfand, AE, Clark, JS, and Zhu, K. "Modeling change in forest biomass across the eastern US." Environmental and Ecological Statistics 23.1 (March 2016): 23-41. Full Text

Ghosh, S, Zhu, K, Gelfand, AE, and Clark, JS. "Joint Modeling of Climate Niches for Adult and Juvenile Trees." Journal of Agricultural, Biological, and Environmental Statistics 21.1 (March 2016): 111-130. Full Text

Terres, MA, and Gelfand, AE. "Spatial process gradients and their use in sensitivity analysis for environmental processes." Journal of Statistical Planning and Inference 168 (January 2016): 106-119. Full Text

Pages

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

Silberstein, A, Puggioni, G, Gelfand, A, Munagala, K, and Yang, J. "Suppression and failures in sensor networks: A Bayesian approach." January 1, 2007.