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Alan E. Gelfand

Alan E. Gelfand

Award Badge
Mathematics
USA
2026

D-Index & Metrics

Mathematics

D-Index
84
Citations
45213
World Ranking
111
National Ranking
62

Research.com Recognitions

  • 2026 - Research.com Mathematics in United States Leader Award
  • 2025 - Research.com Mathematics in United States Leader Award
  • 2019 - Samuel S. Wilks Memorial Award, American Statistical Association (ASA)
  • 1978 - Fellow of the American Statistical Association (ASA)

Overview

Alan E. Gelfand is affiliated with Duke University in the United States. Their research primarily focuses on environmental science, with a notable emphasis on subfields such as global and planetary change, ecology, economics and econometrics, nature and landscape conservation, and ecological modeling.

The range of topics covered in their work includes species distribution and climate change, ecology and vegetation dynamics studies, spatial and panel data analysis, climate variability and models, marine animal studies overview, soil geostatistics and mapping, and economic and environmental valuation.

Recent papers authored or co-authored by Alan E. Gelfand include:

  • "Modeling spatially biased citizen science effort through the eBird database" (2021, Environmental and Ecological Statistics)
  • "Zero-Inflated Beta Distribution Regression Modeling" (2022, Journal of Agricultural Biological and Environmental Statistics)
  • "The role of odds ratios in joint species distribution modeling" (2021, Environmental and Ecological Statistics)
  • "Assessing Disparity Using Measures of Racial and Educational Isolation" (2021, International Journal of Environmental Research and Public Health)
  • "Spatial Modeling of Day-Within-Year Temperature Time Series: An Examination of Daily Maximum Temperatures in Aragón, Spain" (2022, Journal of Agricultural Biological and Environmental Statistics)

Frequent co-authors contributing alongside Alan E. Gelfand include Jesús Asín, Ana C. Cebrián, Jorge Castillo-Mateo, Robert S. Schick, and Erin M. Schliep. These collaborators have worked with Gelfand on multiple occasions, reflecting ongoing research partnerships.

Publications by Alan E. Gelfand have appeared in several key venues, such as arXiv (Cornell University), Spatial Statistics, Environmental and Ecological Statistics, Journal of Agricultural Biological and Environmental Statistics, and The Annals of Applied Statistics.

Alan E. Gelfand has been recognized with the Samuel S. Wilks Memorial Award from the American Statistical Association (ASA) in 2019. In addition, they were named a Fellow of the American Statistical Association in 1978.

Best Publications

  • Sampling-Based Approaches to Calculating Marginal Densities

    Alan E. Gelfand;Adrian F. M. Smith

  • Hierarchical Modeling and Analysis for Spatial Data

    Sudipto Banerjee;Bradley P. Carlin;Alan E. Gelfand

  • Bayesian Model Choice: Asymptotics and Exact Calculations

    Alan E Gelfand;D K Dey

  • Illustration of Bayesian Inference in Normal Data Models Using Gibbs Sampling

    Alan E. Gelfand;Susan E. Hills;Amy Racine-Poon;Adrian F. M. Smith

  • Bayesian statistics without tears: A sampling-resampling perspective

    A. F. M. Smith;Alan E. Gelfand

  • Gaussian predictive process models for large spatial data sets

    Sudipto Banerjee;Alan E. Gelfand;Andrew O. Finley;Huiyan Sang

  • Handbook of spatial statistics

    Alan E. Gelfand;Peter Diggle;Peter Guttorp;Montserrat Fuentes

  • Model Determination Using Predictive Distributions with Implementation via Sampling-Based Methods

    Alan E. Gelfand;Dipak K. Dey;Hong Chang

  • Model choice: A minimum posterior predictive loss approach

    Alan E. Gelfand;Sujit K. Ghosh

  • Hierarchical Bayesian Analysis of Changepoint Problems

    Bradley P. Carlin;Alan E. Gelfand;Adrian F. M. Smith

  • Hierarchical Spatio-Temporal Mapping of Disease Rates

    Lance A. Waller;Bradley P. Carlin;Hong Xia;Alan E. Gelfand

  • Spatial Modeling With Spatially Varying Coefficient Processes

    Alan E Gelfand;Hyon-Jung Kim;C. F Sirmans;Sudipto Banerjee

  • Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets.

    Abhirup Datta;Sudipto Banerjee;Andrew O. Finley;Alan E. Gelfand

  • Bayesian Analysis of Constrained Parameter and Truncated Data Problems Using Gibbs Sampling

    Alan E. Gelfand;Adrian F. M. Smith;Tai-Ming Lee

  • Proper multivariate conditional autoregressive models for spatial data analysis.

    Alan E. Gelfand;Penelope Vounatsou

  • Efficient parametrisations for normal linear mixed models

    Alan E. Gelfand;Sujit K. Sahu;Bradley P. Carlin

  • Bayesian Nonparametric Spatial Modeling With Dirichlet Process Mixing

    Alan E Gelfand;Athanasios Kottas;Steven N MacEachern

  • Bayesian Analysis of Linear and Non-Linear Population Models by Using the Gibbs Sampler

    J. C. Wakefield;A. F. M. Smith;A. Racine-Poon;A. E. Gelfand

  • Building Statistical Models To Analyze Species Distributions

    Andrew M. Latimer;Shanshan Wu;Alan E. Gelfand;John A. Silander

  • The Nested Dirichlet Process

    Abel Rodríguez;David B Dunson;Alan E Gelfand

  • Model choice: A minimum posterior predictive loss approach.

    Sujit Kumar Ghosh;Alan E. Gelfand

Frequent Co-Authors

Bradley P. Carlin
Bradley P. Carlin University of Minnesota
Sudipto Banerjee
Sudipto Banerjee University of California, Los Angeles
Dipak K. Dey
Dipak K. Dey University of Connecticut
C. F. Sirmans
C. F. Sirmans Florida State University
Adrian F. M. Smith
Adrian F. M. Smith Imperial College London
Peter J. Diggle
Peter J. Diggle Lancaster University
Bani K. Mallick
Bani K. Mallick Texas A&M University
Jun Yang
Jun Yang Duke University
David B. Dunson
David B. Dunson Duke University
Pankaj K. Agarwal
Pankaj K. Agarwal Duke University

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