Gelman, Andrew
Columbia University
37 papers on CoChatORCID 0000-0002-6975-2601
Most cited papers
- Verified
Forecasting elections with non-representative polls
Wang, W., Rothschild, D., Goel, S., & Gelman, A. (2015) · International Journal of Forecasting
Survey Sampling and Estimation TechniquesSurvey Methodology and Nonresponse
Cited by 371
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Physiological Pharmacokinetic Analysis Using Population Modeling and Informative Prior Distributions
Gelman, A., Bois, F., & Jiang, J. (1996) · Journal of the American Statistical Association
Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials
Cited by 353
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Bayesian Measures of Explained Variance and Pooling in Multilevel (Hierarchical) Models
Gelman, A., & Pardoe, I. (2006) · Technometrics
Statistical Methods and Bayesian InferenceSpatial and Panel Data Analysis
Cited by 342
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Practical Issues in Implementing and Understanding Bayesian Ideal Point Estimation
Bafumi, J., Gelman, A., Park, D. K., & Kaplan, N. (2005) · Political Analysis
Statistical Methods and Bayesian InferenceElectoral Systems and Political Participation
Cited by 245
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Bayesian hierarchical spatial models: Implementing the Besag York Mollié model in stan
Morris, M., Wheeler-Martin, K., Simpson, D., Mooney, S. J., Gelman, A., & DiMaggio, C. (2019) · Spatial and Spatio-temporal Epidemiology
Spatial and Panel Data AnalysisPoint processes and geometric inequalities
Cited by 192
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A consensus-based transparency checklist
Aczel, B., Szaszi, B., Sarafoglou, A., Kekecs, Z., Kucharský, Š., Benjamin, D., Chambers, C. D., Fisher, A., Gelman, A., Gernsbacher, M. A., et al. (2019) · Nature Human Behaviour
Academic Publishing and Open AccessMeta-analysis and systematic reviews
Cited by 152
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Erratum to: Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
Vehtari, A., Gelman, A., & Gabry, J. (2017) · Statistics and Computing
Statistical Methods and Bayesian InferenceMarkov Chains and Monte Carlo Methods
Cited by 62
- Verified · note
Simulation-Based Calibration Checking for Bayesian Computation: The Choice of Test Quantities Shapes Sensitivity
Modrák, M., Moon, A. H., Kim, S., Bürkner, P., Huurre, N., Faltejsková, K., Gelman, A., & Vehtari, A. (2025) · Bayesian Analysis
Markov Chains and Monte Carlo MethodsStatistical Methods and Bayesian Inference
Cited by 42
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Rates and correlates of HIV and STI infection among homeless women
Caton, C. L. M., El-Bassel, N., Gelman, A., Barrow, S., Herman, D., Hsu, E., Tochterman, A. Z., Johnson, K., & Felix, A. (2013) · AIDS and Behavior
Homelessness and Social IssuesHIV, Drug Use, Sexual Risk
Cited by 40
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19 Things We Learned from the 2016 Election
Gelman, A., & Azari, J. (2017) · Statistics and Public Policy
Electoral Systems and Political ParticipationPopulism, Right-Wing Movements
Cited by 33
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Comment: Fuzzy and Bayesian p-Values and u-Values
Gelman, A. (2005) · Statistical Science
Statistical Methods and Bayesian InferenceProbability and Statistical Research
Cited by 22
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Bayesian Inference with Probability Matrix Decomposition Models
Meulders, M., De Boeck, P., Van Mechelen, I., Gelman, A., & Maris, E. (2001) · Journal of Educational and Behavioral Statistics
Statistical Methods and Bayesian InferenceBayesian Methods and Mixture Models
Cited by 15
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This Is the Reason for External Replication: Response to Aungle et al.
Brown, N. J. L., & Gelman, A. (2026) · Advances in Methods and Practices in Psychological Science
Psychology Research and BibliometricsMeta-analysis and systematic reviews
Cited by 0
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