Some presentations
-
Theoretical and Applied Data Science Seminar
Valid inferential models and conformal prediction [slides]
Iowa State University, virtual, March 2021. -
Machine Learning Seminar
Valid inferential models and conformal prediction [slides]
Purdue University, virtual, March 2021. -
Statistics Power Half-Hour
Statistical Reasoning 101 [slides]
NCSU Library, virtual March 2021. -
BFF 6.5 -- Workshop on Bayesian, Fiducial, and Frequentist Inference
Imprecise probability in frequentist inference [slides]
Researchers.One, virtual, February 2021. -
SIPTA School 2020/2021
Inferential Models (virtual short course) [slides]
Institute for Risk and Uncertainty, University of Liverpool, UK, January 2021. -
Department of Data Science and Operations Seminar
Empirical priors for inference on high-dimensional structured parameters. [slides]
University of Southern California, October 2020. -
Joint Statistical Meetings
Empirical priors for inference on high-dimensional 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 data-dependent distributions. [slides]
University of Warwick, UK, June 2019. -
6th African International Conference on Statistics
--False confidence, non-additive 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, non-additive 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 open-access e-journals [slides])
Vilnius, Lithuania, July 2018. -
2018 ISBA World Meeting
Empirical priors for wranglin' with structured high-dimensional 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 non-additive 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 non-additive beliefs.
Rutgers University, April 2018. -
CMStatistics 2017
Posterior concentration rates via empirical priors.
London, UK, December 2017. -
2nd Workshop on Higher-Order Asymptotics & Post-Selection Inference
On valid post-selection 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 prior-free 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 high-dimensional 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 prior-free probabilistic inference.
North Carolina State University, November 2015. -
Statistics Colloquium
High-dimensional 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 high-dimensional 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 prior-free posterior probabilistic inference.
Duke University, November 2012. -
ASA Northeastern Illinois Chapter Meeting
A nonparametric empirical Bayes framework for large-scale 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 prior-free posterior probabilistic inference.
Purdue University, June 2012. -
ACMS Department Colloquium
Predictive recursion marginal likelihood and application to large-scale simultaneous testing.
University of Notre Dame, January 2011.