Journal

Statistical Science

ISSN 0883-4237 · Institute of Mathematical Statistics

OpenAlex S12967704

Published here

29 counted works of 30 linked

YearTitleAcademicsSources
forthcoming, 2009.“The Essential Role of Pair Matching in Cluster-Randomized Experiments, with Application to the Mexican Universal Health Insurance Evaluation.” in progress Gary King GS
2024 Comment: Protocols for Observational Studies: An Application to Regression Discontinuity Designs Rocío Titiunik CV OA GS
2024 Past, present, and future of software for Bayesian inference Andrew Gelman CV OA GS
2023 Principal Fairness for Human and Algorithmic Decision-Making Kosuke Imai CV OA GS
2020 Laplace’s Theories of Cognitive Illusions, Heuristics and Biases Andrew Gelman OA GS
2020 Laplace’s theories of cognitive illusions, heuristics, and biases (with discussion and rejoinder) Andrew Gelman CV OA GS
2017 Understanding Ding’s Apparent Paradox P. M. Aronow CV OA GS
2014 How Bayesian analysis cracked the red-state, blue-state problem Andrew Gelman CV GS
2011 Bayesian statistical pragmatism Andrew Gelman CV OA GS
2010 Bayesian statistics then and now Andrew Gelman GS
2010 Bayesian statistics then and now. Discussion of “The future of indirect evidence,” by Bradley Efron Andrew Gelman CV
2010 Identification, Inference, and Sensitivity Analysis for Causal Mediation Effects Kosuke Imai CV OA GS
2009 Bayes, Jeffreys, prior distributions, and the philosophy of statistics. Discussion of “Harold Jeffreys’ Theory of Probability revisited,” by Christian Robert, Nicolas Chopin, and Judith Rousseau Andrew Gelman CV
2009 Matched Pairs and the Future of Cluster-Randomized Experiments: A Rejoinder Gary King; Kosuke Imai CV OA GS
2009 Rejoinder: Matched Pairs and the Future of Cluster-Randomized Experiments Gary King OA GS
2009 The Essential Role of Pair Matching in Cluster-Randomized Experiments, with Application to the Mexican Universal Health Insurance Evaluation Gary King; Kosuke Imai CV OA GS
2007 Discussion of “Bayesian checking of the second levels of hierarchical models,” by M. J. Bayarri and M. E. Castellanos Andrew Gelman CV OA GS
2007 Struggles with Survey Weighting and Regression Modeling Andrew Gelman OA GS
2007 Struggles with survey weighting and regression modeling (with discussion and rejoinder) Andrew Gelman CV OA
2006 Fuzzy and Bayesian p-values and u-values. Discussion of “Fuzzy and randomized confidence intervals and p-values,” by C. Geyer and G. Meeden Andrew Gelman CV
2005 Comment: Fuzzy and Bayesian p-Values and u-Values Andrew Gelman OA GS
2002 The mathematics and statistics of voting power Andrew Gelman CV OA GS
2001 [Conditionally specified distributions: An introduction]: comment Andrew Gelman GS
2001 Using conditional distributions for missing-data imputation. Discussion of “Conditionally specified distributions” by B. Arnold et al. Andrew Gelman CV GS
1999 Analysis of local decisions using hierarchical modeling, applied to home radon measurement and remediation (with disussion) Andrew Gelman CV OA GS
1999 In Praise of Decision Analysis in Environmental Health: Rejoinder Andrew Gelman GS
1998 Simulating normalizing constants: From importance sampling to bridge sampling to path sampling Andrew Gelman CV OA GS
1993 Assessing uncertainty in backprojection. Discussion of “Backcalculation of HIV infection rates,” by P. Bacchetti, M. R. Segal, and N. P. Jewell Andrew Gelman CV OA GS
1992 Inference from iterative simulation using multiple sequences (with discussion and rejoinder) Andrew Gelman CV OA GS
1992 [Practical Markov Chain Monte Carlo]: Rejoinder: Replication without Contrition Andrew Gelman OA GS