# Selected Papers and Software

### 2016

- A
*g*-modeling program for deconvolution and empirical Bayes estimation, with B. Narasimhan - Curvature and inference for maximum likelihood estimates

### 2015

### 2014

### 2013

- Frequentist accuracy of Bayesian estimates
- Estimation and accuracy after model selection
- Empirical Bayes modeling, computation, and accuracy

### 2012

- Bayesian inference and the parametric bootstrap
- A 250-year argument: Belief, behavior, and the bootstrap
- Model selection, estimation, and bootstrap smoothing

### 2011

### 2010

- False discovery rates and copy number variation, with N. Zhang

### 2009

- The future of indirect evidence and a Rejoinder
- Correlated
*z*-values and the accuracy of large-scale statistical estimates

### 2008

- Empirical Bayes estimates for large-scale prediction problems
- Row and column correlations (Are a set of microarrays independent of each other?) (March)
- Are a set of microarrays independent of each other? (revised October)

### 2007

- Simultaneous inference: When should hypothesis testing problems be combined?
- Doing thousands of hypothesis tests at the same time

### 2006

- Microarrays, empirical Bayes, and the two-groups model
- Testing the significance of sets of genes
- Size, power, and false discovery rates
- Correlation and large-scale simultaneous significance testing

### 2005

- Modern science and the Bayesian-frequentist controversy
- Minimum volume confidence regions for a multivariate normal mean vector
- Local false discovery rates
- Bayesians, frequentists, and scientists

### 2004

- Selection and estimation for large-scale simultaneous inference
- The estimation of prediction error: Covariance penalties and cross-validation
- Bayesians, frequentists, and physicists

### 2003

- Large-scale simultaneous hypothesis testing: The choice of a null hypothesis
- Second thoughts on the bootstrap
- Robbins, empirical Bayes, and microarrays

### 2002

- Pre-validation and inference in microarrays, with R. Tibshirani
- Least angle regression, with T. Hastie, I. Johnstone and R. Tibshirani
- Supplemental material: LARS software for R and Splus

### 2001

- Scales of evidence for model selection: Fisher versus Jeffreys, with A. Gous
- The two-way proportional hazards model
- Microarrays empirical Bayes methods, and false discovery rates, with J.D. Storey and R. Tibshirani
- Empirical Bayes analysis of a microarray experiment, with R. Tibshirani, J.D. Storey and V. Tusher