Todd Kuffner
Home
Research
Events
Students
Teaching
Other

My research is currently supported by NSF grant DMS-1712940.


Papers submitted or under revision

Papers published or accepted

  1. 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]

  2. 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]

  3. T.A. Kuffner and S.G. Walker (2017+). Why are p-values controversial?. The American Statistician, to appear.  [preprint]

  4. T.J. DiCiccio, T.A. Kuffner, and G.A. Young (2017+). A simple analysis of the exact probability matching prior in the location-scale model. The American Statistician, to appear.  [preprint]

  5. T.J. DiCiccio, T.A. Kuffner, and G.A. Young (2015). Quantifying nuisance parameter effects via decompositions of asymptotic refinements for likelihood-based statistics. Journal of Statistical Planning and Inference.  [preprint]

  6. T.J. DiCiccio, T.A. Kuffner, G.A. Young, and R. Zaretzki (2015). Stability and uniqueness of p-values for likelihood-based inference. Statistica Sinica.  [preprint]

  7. T.J. DiCiccio, T.A. Kuffner, and G.A. Young (2012). Objective Bayes, conditional inference and the signed root likelihood ratio statistic. Biometrika.  [preprint]

Selected working papers and in preparation


Upcoming Talks


In the Past



For Fun

I love visiting statistics departments to talk shop - it's one of my favorite things to do! Here are some visits distinct from the talks above.