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?
2006

To Kuala Lumpur, with love
Brad appeared on video to deliver the plenary lecture as winner of the International Prize in Statistics during the 2019 World Statistical Congress.