Todd Kuffner 

Principal Investigator, 20182021 NSF regular grant,
DMS1811936, Collaborative Research: New Developments in Direct
Probabilistic Inference on Interest Parameters
Principle Investigator, 2018, NSF conference grant,
DMS1812088, Third Workshop on HigherOrder Asymptotics and
PostSelection Inference
Principal Investigator, 20172020, NSF regular grant, DMS1712940,
Collaborative Research: HigherOrder Asymptotics and Accurate Inference
for PostSelection
Principle Investigator, 2016, NSF conference grant,
DMS1623028, Workshop on HigherOrder Asymptotics and
PostSelection
Inference
Optimal hybrid block bootstrap for sample quantiles under weak
dependence, with S.M.S. Lee and G.A. Young. Submitted. [pdf]
Bayes factor consistency. Revision requested by Statistical Science.
On model selection criteria for climate change impact studies,
with X. Cui and D. Ghanem. Submitted. [arXiv]
On the validity of the formal Edgeworth expansion for posterior
densities, with J.E. Kolassa. Annals
of
Statistics, accepted. [pdf]
On prediction of future insurance claims when the model is uncertain, with L. Hong and R. Martin. Variance, accepted. [ssrn]
T.A. Kuffner and G.A. Young (2018+). Principled statistical
inference in data science. In Proceedings of the Statistical Data
Science Conference.
N. Adams, E. Cohen and Y.K. Guo,
editors. World Scientific, to appear. [doi] [preprint]
L. Hong, T.A. Kuffner, and R.G. Martin (2018). On overfitting
and postselection uncertainty assessments. Biometrika. [doi]
[preprint]
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. [doi] [preprint]
T.A. Kuffner, S.M.S. Lee, and G.A. Young (2018). 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 Honour of Peter Gavin Hall. [doi] [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. [doi] [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. [doi] [preprint]
T.J. DiCiccio, T.A. Kuffner, G.A. Young, and R. Zaretzki (2015). Stability and uniqueness of pvalues for likelihoodbased inference. Statistica Sinica. [doi] [preprint]
T.J. DiCiccio, T.A. Kuffner, and G.A. Young (2012). Objective Bayes, conditional inference and the signed root likelihood ratio statistic. Biometrika. [doi] [preprint]
Philosophy of science, principled statistical inference, and data science, with G.A. Young.
Density estimation via hybrid block bootstrap for weakly
dependent sequences, with S.M.S. Lee and G.A. Young.
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.
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.
BFF5:
Foundations of Data Science
Invited Speaker.
University of Michigan, May 79, 2018.
Department Colloquium.
"Philosophy of Science, Principled Statistical Inference, and Data
Science."
Michigan State University, March 13, 2018.
Department Colloquium.
"A Tour of Modern HigherOrder Asymptotics."
NC State University, February 12th, 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