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- The twentieth-century reversal: How did the Republican states switch to the Democrats and vice versa?
- Retrospective design analysis using external information.
(Andrew Gelman and John Carlin)
- Understanding predictive information criteria for Bayesian models.
(Andrew Gelman, Jessica Hwang, and Aki Vehtari)
- When do stories work? Evidence and illustration in the social sciences.
(Andrew Gelman and Thomas Basb\oll)
- Understanding posterior p-values.
- Simulation-efficient shortest probability intervals.
(Ying Liu, Andrew Gelman, and Tian Zheng)
- Weighting adjustments for panel nonresponse.
(Qixuan Chen, Andrew Gelman, Melissa Tracy, Fran H. Norris, and Sandro Galea)
- In praise of the referee.
(Nicolas Chopin, Andrew Gelman, Kerrie Mengersen, and Christian Robert)
- Analytical and graphical methods for understanding hierarchical models with an application to estimating state trends in death penalty public opinion.
(Kenny Shirley and Andrew Gelman)
- Visualizing distributions of covariance matrices.
(Tomoki Tokuda, Ben Goodrich, Iven Van Mechelen, Andrew Gelman, and Francis Tuerlinckx)
- On the stationary distribution of iterative imputations.
(Jingchen Liu, Andrew Gelman, Jennifer Hill, and Yu-Sung Su)
- ``How many zombies do you know?'': Using indirect
survey methods to measure alien attacks and outbreaks of the undead.
- Thoughts on new statistical procedures for age-period-cohort analyses.
- Protecting minorities in binary elections: A test of storable votes using field data.
(Alessandra Casella, Shuky Ehrenberg, Andrew Gelman, and Jie Shen)
- One vote, many Mexicos: income and vote choice in the 1994, 2000, and 2006 presidential elections.
(Jeronimo Cortina, Andrew Gelman, and Narayani Lasala)
- Fitting multilevel models when predictors and group effects correlate.
(Joseph Bafumi and Andrew Gelman)
- Fully Bayesian computing.
(Jouni Kerman and Andrew Gelman)
- Sampling for Bayesian computation with large datasets.
(Zaiying Huang and Andrew Gelman)