Some presentations

Department of Data Science and Operations Seminar
Empirical priors for inference on highdimensional structured parameters. [slides]
University of Southern California, October 2020. 
Joint Statistical Meetings
Empirical priors for inference on highdimensional structured parameters.
Virtual, August 2020. 
BayesComp 2020
Gibbs posterior distributions. [slides]
University of Florida, January 2020. 
ISIPTA 2019
On valid uncertainty quantification about a model. [slides] [poster]
Possibility measures for valid statistical inference based on censored data. [slides]
Incorporating expert opinion in an inferential model while maintaining validity. [slides]
Ghent University, Belgium, July 2019. 
O'Bayes 2019
Objective datadependent distributions. [slides]
University of Warwick, UK, June 2019. 
6th African International Conference on Statistics
False confidence, nonadditive beliefs, and valid statistical inference. [slides]
Construction, concentration, and calibration of Gibbs posteriors. [slides]
Arsi University, Ethiopia, May 2019. 
Applied and Computational Mathematics and Statistics Department Colloquium
False confidence, nonadditive beliefs, and valid statistical inference. [slides]
University of Notre Dame, February 2019. 
BELIEF 2018/SMPS 2018
Belief functions and valid statistical inference (keynote).
Compiegne, France, September 2018. 
2018 IMS Annual Meeting
Construction, concentration, and calibration of Gibbs posteriors.
(Also presented in the session on openaccess ejournals [slides])
Vilnius, Lithuania, July 2018. 
2018 ISBA World Meeting
Empirical priors for wranglin' with structured highdimensional problems.
(Editor's choice session: "Lassos and horseshoes for the sparse Bayesian cowboy")
Edinburgh, Scotland, June 2018. 
2018 IISA International Conference on Statistics
Fast nonparametric estimation of a smooth mixing density.
(Memorial session for Professor J.K. Ghosh)
University of Florida, May 2018. 
5th Bayesian, Fiducial, and Frequentist Conference
Probability dilution, false confidence, and nonadditive beliefs.
University of Michigan, May 2018. 
12th UMBC Probability and Statistics Day
Fast nonparametric estimation of a smooth mixing density.
(Keynote/Memorial session for Professor J.K. Ghosh)
University of Maryland Baltimore County, April 2018. 
Foundations of Probability Seminar
Probability dilution, false confidence, and nonadditive beliefs.
Rutgers University, April 2018. 
CMStatistics 2017
Posterior concentration rates via empirical priors.
London, UK, December 2017. 
2nd Workshop on HigherOrder Asymptotics & PostSelection Inference
On valid postselection prediction in regression.
Washington University in St. Louis, August 2017. 
11th Conference on Bayesian Nonparametrics
Model misspecification on purpose.
Paris, France, June 2017. 
4th Bayesian, Fiducial, and Frequentist Conference
Confidence, probability, and plausibility.
(Also presented in the "Views from Rising Stars" panel discussion)
Harvard University, May 2017. 
10th International Conference of the Thailand Econometric Society
Valid priorfree probabilistic inference.
(Plenary Session invited talk)
Chiang Mai University, Thailand, January 2017. 
Department of Statistics Seminar
Posterior inference without (really) using Bayes. [slides]
North Carolina State University, December 2016. 
Latent Variables Conference
A double empirical Bayes approach for highdimensional problems.
University of South Carolina, October 2016. 
Workshop on Fusion Learning, BFF inferences and Statistical Foundations
Beliefs, validity, and the foundations of statistics.
Rutgers University, April 2016. 
Department of Statistics Colloquium
Inferential models: a framework for priorfree probabilistic inference.
North Carolina State University, November 2015. 
Statistics Colloquium
Highdimensional posterior inference via double empirical Bayes.
Texas A&M University, February 2015. 
International Conference on Advances in Interdisciplinary Statistics and Combinatorics
Empirical Bayes posterior concentration in sparse highdimensional linear models,
Greensboro, NC, October 2014. 
Department of Statistics Seminar
Asymptotically minimax empirical Bayes estimation of a sparse normal mean vector.
University of Illinois at Urbana–Champaign, September 2013. 
Department of Statistics Seminar
A Bayesian test of normality versus a Dirichlet process mixture alternative.
Northwestern University, January 2013. 
Statistical Science Seminar
Inferential models: A framework for priorfree posterior probabilistic inference.
Duke University, November 2012. 
ASA Northeastern Illinois Chapter Meeting
A nonparametric empirical Bayes framework for largescale multiple testing.
Northbrook, IL, October 2012. 
Statistics and Probability Seminar
Plausibility functions and exact frequentist inference.
Michigan State University, October 2012. 
Purdue Symposium on Statistics
Inferential models: A framework for priorfree posterior probabilistic inference.
Purdue University, June 2012. 
ACMS Department Colloquium
Predictive recursion marginal likelihood and application to largescale simultaneous testing.
University of Notre Dame, January 2011.