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Andrew Gelman

Columbia University, New York, NY 
"Andrew Gelman"


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Donald B. Rubin grad student 1990 Harvard
 (Topics in image reconstruction for emission tomography)


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Cavan S. Reilly grad student 2000 Columbia
Hao Lu grad student 2001 Columbia
Zaiying Huang grad student 2004 Columbia
Alexander Kiss grad student 2004 Columbia
Cristian Pasarica grad student 2004 Columbia
Jouni P. Kerman grad student 2006 Columbia
Rachel Schutt grad student 2010 Columbia
Vincent J. Dorie grad student 2014 Columbia
Yair Ghitza grad student 2014 Columbia
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Ghitza Y, Gelman A. (2020) Voter Registration Databases and MRP: Toward the Use of Large-Scale Databases in Public Opinion Research Political Analysis. 1-25
Gelman A, Auerbach J. (2016) Age-aggregation bias in mortality trends. Proceedings of the National Academy of Sciences of the United States of America
Gelman A, Goel S, Rivers D, et al. (2016) The mythical swing voter Quarterly Journal of Political Science. 11: 103-130
Schofield MR, Barker RJ, Gelman A, et al. (2016) A Model-Based Approach to Climate Reconstruction Using Tree-Ring Data Journal of the American Statistical Association. 111: 93-106
Chen Q, Gelman A, Tracy M, et al. (2015) Incorporating the sampling design in weighting adjustments for panel attrition. Statistics in Medicine
Wang W, Gelman A. (2015) Difficulty of selecting among multilevel models using predictive accuracy Statistics and Its Interface. 8: 153-160
Gelman A, Lee D, Guo J. (2015) Stan: A Probabilistic Programming Language for Bayesian Inference and Optimization Journal of Educational and Behavioral Statistics. 40: 530-543
Chung Y, Gelman A, Rabe-Hesketh S, et al. (2015) Weakly Informative Prior for Point Estimation of Covariance Matrices in Hierarchical Models Journal of Educational and Behavioral Statistics. 40: 136-157
Si Y, Pillai NS, Gelman A. (2015) Bayesian nonparametric weighted sampling inference Bayesian Analysis. 10: 605-625
Gelman A. (2015) The Connection Between Varying Treatment Effects and the Crisis of Unreplicable Research: A Bayesian Perspective Journal of Management. 41: 632-643
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