A Conversation with Alan Gelfand
Bradley P. Carlin, Amy H. Herring

TL;DR
This interview highlights Alan Gelfand's influential career in statistics, emphasizing his pioneering work in Bayesian methods, spatial statistics, and his impact on environmental sciences over several decades.
Contribution
The paper provides a comprehensive overview of Gelfand's career, emphasizing his foundational contributions to Bayesian computation and spatial statistical methodologies.
Findings
Introduction of Gibbs sampler revolutionized Bayesian computing.
Fundamental contributions to spatially-varying coefficient models.
Significant impact on environmental science applications.
Abstract
Alan E. Gelfand was born April 17, 1945, in the Bronx, New York. He attended public grade schools and did his undergraduate work at what was then called City College of New York (CCNY, now CUNY), excelling at mathematics. He then surprised and saddened his mother by going all the way across the country to Stanford to graduate school, where he completed his dissertation in 1969 under the direction of Professor Herbert Solomon, making him an academic grandson of Herman Rubin and Harold Hotelling. Alan then accepted a faculty position at the University of Connecticut (UConn) where he was promoted to tenured associate professor in 1975 and to full professor in 1980. A few years later he became interested in decision theory, then empirical Bayes, which eventually led to the publication of Gelfand and Smith [J. Amer. Statist. Assoc. 85 (1990) 398-409], the paper that introduced the Gibbs…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
