Alan E. Gelfand
James B. Duke Professor of Statistics and Decision Sciences
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
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
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, and Banerjee, S. "Bayesian Modeling and Analysis of Geostatistical Data." Annual Review of Statistics and Its Application 4.1 (March 7, 2017): 245-266. 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
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
Shirota, S, and Gelfand, AE. "Approximate Bayesian Computation and Model Assessment for Repulsive Spatial Point Processes." Journal of Computational and Graphical Statistics (February 28, 2017): 1-12. 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
Pan, J, Rao, V, Agarwal, PK, and Gelfand, AE. "Markov-modulated marked poisson processes for check-in data." January 1, 2016.
Gray, SC, Gelfand, AE, and Miranda, ML. "SPATIAL ADJUSTMENT OF MEASUREMENT ERROR IN MATERNAL EXPOSURE TO AIR POLLUTION." June 1, 2011.
Gray, SC, Gelfand, AE, and Miranda, ML. "HIERARCHICAL SPATIAL MODELING OF UNCERTAINTY IN AIR POLLUTION AND BIRTH WEIGHT STUDY." June 1, 2010.
Anthopolos, R, James, S, Gelfand, AE, Berrocal, V, and Miranda, ML. "A NEIGHBORHOOD AND SPATIAL MEASURE OF RACIAL ISOLATION APPLIED TO BIRTHWEIGHT." June 1, 2009.
Silberstein, A, Puggioni, G, Gelfand, A, Munagala, K, and Yang, J. "Suppression and failures in sensor networks: A Bayesian approach." January 1, 2007.
Silberstein, A, Gelfand, AE, Munagala, K, Puggioni, G, and Yang, J. "Making Sense of Suppressions and Failures in Sensor Data: A Bayesian Approach." ACM, 2007.