Selected Papers and Datasets
- 2023 A diagnostic function for the accuracy of bootstrap confidence intervals
- 2021 Resampling plans and the estimation of prediction error
- 2021 Empirical Bayes: Concepts and methods
- 2020 Prediction, estimation, and attribution
- 2020 The automatic construction of bootstrap confidence intervals, with B. Narasimhan
- 2018 Bayes, oracle Bayes, and empirical Bayes
- 2016 A g-modeling program for deconvolution and empirical Bayes estimation, with B. Narasimhan
- 2016 Curvature and inference for maximum likelihood estimates
- 2015 The Bayes deconvolution problem
- 2014 Two modeling strategies for empirical Bayes estimation
- 2013 Frequentist accuracy of Bayesian estimates
- 2013 Estimation and accuracy after model selection
- 2013 Empirical Bayes modeling, computation, and accuracy
- 2012 Bayesian inference and the parametric bootstrap
- 2012 A 250-year argument: Belief, behavior, and the bootstrap
- 2012 Model selection, estimation, and bootstrap smoothing
- 2011 Tweedie's formula and selection bias
- 2011 The bootstrap and Markov chain Monte Carlo
- 2010 False discovery rates and copy number variation, with N. Zhang
- 2009 The future of indirect evidence and a Rejoinder
- 2009 Correlated z-values and the accuracy of large-scale statistical estimates
- 2008 Empirical Bayes estimates for large-scale prediction problems
- 2008 Row and column correlations (Are a set of microarrays independent of each other?) (March)
- 2007 Simultaneous inference: When should hypothesis testing problems be combined?
- 2007 Doing thousands of hypothesis tests at the same time
- 2006 Microarrays, empirical Bayes, and the two-groups model
- 2006 Testing the significance of sets of genes
- 2006 Size, power, and false discovery rates
- 2006 Correlation and large-scale simultaneous significance testing
