Andrew Gelman

36 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-6975-2601

Columbia University

Publications

• Andrew Gelman’s contribution to the discussion of “Statistical exploration of the manifold hypothesis” by Whiteley et al — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2026
• Russian roulette: the need for stochastic potential outcomes when utilities depend on counterfactuals — Biometrika 2025 (name-matched, not ORCID-linked)
• Commentaries on “Beyond statistical significance: Five principles for the new era of data analysis and reporting” — Journal of Consumer Psychology 2024
• Pareto Smoothed Importance Sampling — Journal of Machine Learning Research 2024 (name-matched, not ORCID-linked)
• Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
• Pathfinder: Parallel quasi-Newton variational inference — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
• What are the Most Important Statistical Ideas of the Past 50 Years? — Journal of the American Statistical Association 2021
• Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data — Journal of Machine Learning Research 2020 (name-matched, not ORCID-linked)
• Bayesian aggregation of average data: An application in drug development — The Annals of Applied Statistics 2018
• Disentangling Bias and Variance in Election Polls — Journal of the American Statistical Association 2018
• Automatic Differentiation Variational Inference — Journal of Machine Learning Research 2017 (name-matched, not ORCID-linked)
• Some Natural Solutions to thep-Value Communication Problem—and Why They Won’t Work — Journal of the American Statistical Association 2017
• A Model-Based Approach to Climate Reconstruction Using Tree-Ring Data — Journal of the American Statistical Association 2016
• The Connection Between Varying Treatment Effects and the Crisis of Unreplicable Research — Journal of Management 2015
• Comment — Journal of the American Statistical Association 2014
• The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo — Journal of Machine Learning Research 2014 (name-matched, not ORCID-linked)
• On the stationary distribution of iterative imputations — Biometrika 2014
• Correction: Should the Democrats move to the left on economic policy? — The Annals of Applied Statistics 2013
• Commentary—Discussion of the Article “Website Morphing” — Marketing Science 2009
• Should the Democrats move to the left on economic policy? — The Annals of Applied Statistics 2008
• A weakly informative default prior distribution for logistic and other regression models — The Annals of Applied Statistics 2008
• Estimating Incumbency Advantage and Its Variation, as an Example of a Before–After Study — Journal of the American Statistical Association 2008
• Rejoinder — Journal of the American Statistical Association 2008
• An Analysis of the New York City Police Department's “Stop-and-Frisk” Policy in the Context of Claims of Racial Bias — Journal of the American Statistical Association 2007
• How Many People Do You Know in Prison? — Journal of the American Statistical Association 2006
• Analysis of variance—why it is more important than ever — The Annals of Statistics 2005
• Parameterization and Bayesian Modeling — Journal of the American Statistical Association 2004
• Poststratification Without Population Level Information on the Poststratifying Variable With Application to Political Polling — Journal of the American Statistical Association 2001
• Not Asked and Not Answered: Multiple Imputation for Multiple Surveys — Journal of the American Statistical Association 1998
• Estimating the Probability of Events That have Never Occurred: When is Your Vote Decisive? — Journal of the American Statistical Association 1998
• Rejoinder — Journal of the American Statistical Association 1998
• Comment — Journal of the American Statistical Association 1997
• Physiological Pharmacokinetic Analysis Using Population Modeling and Informative Prior Distributions — Journal of the American Statistical Association 1996
• Discussion — Journal of the American Statistical Association 1994 (name-matched, not ORCID-linked)
• Characterizing a Joint Probability Distribution by Conditionals — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 1993 (name-matched, not ORCID-linked)
• Estimating the Electoral Consequences of Legislative Redistricting — Journal of the American Statistical Association 1990