Todd Kuffner 

On the validity of the formal Edgeworth expansion for posterior
densities, with J.E. Kolassa. Submitted. [pdf]
Optimal hybrid block bootstrap for sample quantiles under weak
dependence, with S.M.S. Lee and G.A. Young (29 pages). Submitted. [pdf]
Principled statistical inference in data science, with G.A
Young (14 pages; this is separate from the longer working paper listed
below). [pdf]
On overfitting and postselection uncertainty assessments, with
L. Hong and R. Martin. Revision requested by Biometrika.
Bayes factor consistency, with S. Chib (53 pages). Revision requested by Statistical Science. [pdf]
On prediction of future insurance claims when the model is uncertain, with L. Hong and R. Martin. Revision requested. [ssrn]
T.J. DiCiccio, T.A. Kuffner, and G.A. Young (2017+). The formal relationship between analytic and bootstrap approaches to parametric inference. Journal of Statistical Planning and Inference, to appear. [preprint]
T.A. Kuffner, S.M.S. Lee, and G.A. Young (2017+). Consistency of a hybrid block bootstrap for distribution and variance estimation for sample quantiles of weakly dependent sequences. Australian & New Zealand Journal of Statistics. Special Issue in Honor of Peter Hall, to appear. [preprint]
T.A. Kuffner and S.G. Walker (2017+). Why are pvalues controversial?. The American Statistician, to appear. [preprint]
T.J. DiCiccio, T.A. Kuffner, and G.A. Young (2017+). A simple analysis of the exact probability matching prior in the locationscale model. The American Statistician, to appear. [preprint]
T.J. DiCiccio, T.A. Kuffner, and G.A. Young (2015). Quantifying nuisance parameter effects via decompositions of asymptotic refinements for likelihoodbased statistics. Journal of Statistical Planning and Inference. [preprint]
T.J. DiCiccio, T.A. Kuffner, G.A. Young, and R. Zaretzki (2015). Stability and uniqueness of pvalues for likelihoodbased inference. Statistica Sinica. [preprint]
T.J. DiCiccio, T.A. Kuffner, and G.A. Young (2012). Objective Bayes, conditional inference and the signed root likelihood ratio statistic. Biometrika. [preprint]
Philosophy of science, principled statistical inference, and data science, with G.A. Young (09/25/17 version: 72 pages).
Density estimation via hybrid block bootstrap for weakly dependent sequences, with S.M.S. Lee and G.A. Young (09/25/17 version: 26 pages).
Model selection and prediction after selection in linear fixed effects models with highfrequency regressors, with D. Ghanem.
A further investigation on validity of naive confidence intervals after model selection, with X. Zhang.
Feasible and powerful inference after lasso, with R. Zaretzki.
Workshop on Statistical Inference, Learning and Models for Data Science
Invited Speaker (Organizer: Nancy Reid).
Fields Institute, Toronto, Ontario, September 2426, 2018.
ICSA 2018.
Invited Session (Organizer: Hongyuan Cao).
Qingdao, China, July 25, 2018.
The Conference on Statistical Learning and Data Science /
Nonparametric Statistics.
Invited Session (Organizer: Ryan Tibshirani).
Columbia University, June 46, 2018.
Symposium on Data Science & Statistics.
Invited Session (Organizer: Larry Wasserman).
Reston, Virginia, May 1619, 2018.
Department Colloquium.
TBA.
Michigan State University, March 13, 2018.
Department Colloquium.
"Philosophy of Science, Principled Statistical Inference, and Data
Science."
UNC Chapel Hill, November 15th, 2017.
Wharton Statistics Seminar.
"Philosophy of Science, Principled Statistical Inference, and Data
Science."
University of Pennsylvania, November 1st, 2017.
Stochastics Seminar.
"Optimal block bootstrap estimation for nonsmooth functionals for
weakly dependent sequences."
Georgia Tech, October 26th, 2017.
Statistics Seminar.
"Philosophy of Science, Statistics, and Data Science."
Washington University in St. Louis, October 23rd, 2017.
Statistical Machine Learning
Group.
"Philosophy of Science, Principled Statistical Inference, and Data
Science."
Carnegie Mellon University, October 5th, 2017.
ICSA 2017, Invited Session (Organizer: Minge Xie).
"HigherOrder BFF (Bayes Fiducial Frequentist)."
Chicago, IL, June 26th, 2017.
Department of Statistics, A Celebration of Peter McCullagh.
"Some Aspects of Bayesian HigherOrder Asymptotics."
University of Chicago, June 7th, 2017.
Department of Business Analytics and Statistics Seminar.
"Principled Statistical Inference in the Age of Data Science."
University of Tennessee Knoxville, April 28th, 2017.
Department of Mathematics, Statistics Seminar.
"Optimal Block Bootstrap Estimation for Sample Quantiles Under Weak
Dependence."
Washington University in St. Louis, March 3rd, 2017.
Department of Statistics Seminar.
"Quantifying Nuisance Parameter Effects in Likelihood and Bayesian
Inference."
Northwestern University, November 9th, 2016.
Department of Statistics Seminar.
"Conditional Probability Matching Priors."
University of Missouri Columbia, October 21st, 2016.
Workshop on HigherOrder Asymptotics & PostSelection
Inference.
"Tutorials on PostSelection Inference and HigherOrder Asymptotics."
Washington University in St. Louis, September 30th, 2016.
PhyStatnu Workshop on Statistical Issues in Experimental
Neutrino Physics.
"PostSelection Inference."
Fermilab, September 19th, 2016.
JSM 2016, IMS Contributed Session.
"A Unified Framework for Bayes Factor Asymptotics."
Chicago, IL, August 1st, 2016.
Department of Mathematics, Statistics Seminar.
"Bayes Factors and Asymptotics."
Imperial College London, May 27th, 2016.
Department of Statistics Seminar.
University of Illinois UrbanaChampaign, April 28th, 2016.
Department of Statistical Sciences Colloquium.
University of Toronto, November 12th, 2015.
Department of Mathematics, Statistics Seminar.
Washington University in St. Louis, September 25th, 2015
Department of Statistics
& Biostatistics Colloquium.
Rutgers University, September 23rd, 2015.
Department of Statistics Colloquium.
Rice University, April 20th, 2015.
Department of Statistics and Data Sciences Colloquium.
University of Texas Austin, April 17th, 2015
Planned for fall 2017: Rutgers University, NC State
University, University of Chicago, Imperial College London, University
of Cambridge
2017: Stanford University, UC Berkeley
2016: University of Chicago
2013: UC Davis (May, visiting Peter Hall), University of
Hong
Kong (January, visiting Stephen M.S. Lee)
2012: Cornell University (August, visiting Tom DiCiccio and Marty Wells)
2011: Aarhus University (January, visiting Jens Jensen)
2010: Cornell University (August/September, visiting Tom DiCiccio)