Selected Talks
2024
2022
2021
- Nuisance Parameters and Confidence Intervals
- Resampling Methods for the Estimation of Prediction Error
2020
2019
- Prediction, Estimation, and Attribution
- Recorded presentation for the 62nd ISI World Statistics Congress in Kuala Lumpur [46 mins]
2018
2017
2016
- Confidence Intervals and the Stability of Standard Errors
- Confidence Densities, Uninformative Priors, and the Bootstrap
- Interval Estimation: Confidence Densities, Uninformative Priors, and the Bootstrap
(a shorter version for the JSM)
- Interval Estimation: Confidence Densities, Uninformative Priors, and the Bootstrap
2015
- Frequentist Accuracy of Bayesian Estimates, YouTube recording of October's RSS Journal Webinar
- Empirical Bayes Deconvolution Problem
- Three 2nd Thoughts on Empirical Bayes Inference
2014
2013
2012
2011
- A 250-Year Argument (November/Gibbs Lecture version)
- Watch a short interview with Brad before he delivers the JMM 2012 Gibbs Lecture
- Bayesian Inference and the Parametric Bootstrap
- A 250-Year Argument (June version)
2010
- Tweedie's Formula and Selection Bias
- Correlation, z-Values, and the Accuracy of Large-Scale Estimators
- False Discovery Rates and Copy Number Variation
2009
- Bootstrap Methods and the Accuracy of Large-Scale Estimators
- The Future of Indirect Evidence
- Correlated z-Values and the Accuracy of Large-Scale Statistical Estimates
2008
- Learning from the Experience of Others
- Large-Scale Prediction Problems
- Very Large Biomedical Data Sets
2007
- Are a Set of Microarrays Independent of Each Other?
- Bayesians, Empirical Bayesians and Frequentists
- Simultaneous Inference: When Should Hypothesis Testing Problems Be Combined?