Program

Visit the menu links for the conference schedule by day, view the whole schedule below, or click here for a PDF schedule grid.

Registration is required--please click here to register!

Click here for a full program PDF.

Harvard ID holders can attend daytime events for free, but they must register and pay the registration fee to attend the banquet.

Monday, May 1

8:00 am - 8:45 am Registration

8:45 am - 9:00 am Opening Remarks, Xiao-Li Meng, Harvard University

9:00 am - 10:15 am Featured Discussion: What Bayes did, and (more to my point) what Bayes did not do
Speaker: Arthur Dempster, Harvard University
Discussant: Glenn Shafer, Rutgers Business School, Slides

10:15 am - 10:30 am Coffee Break

10:30 am - 12:00 noon Invited Session
Ryan Martin, North Carolina State University, "Confidence, probability, and plausibility"
Jan Hannig, University of North Carolina Chapel Hill, "Generalized Fiducial Inference: Current Challenges," Slides
Nanny Wermuth, Chalmers University of Technology/Gutenberg-University, "Characterising model classes by prime graphs and by statistical properties," Slides

12:00 noon - 1:30 pm Poster Session with Lunch

1:30 pm - 2:45 pm Featured Discussion: Using rates of incoherence to refresh some old "foundational" debates
Speaker: Teddy Seidenfeld, Carnegie Mellon University, Slides
Discussant: Christian Robert, University of Warwick/Paris-Dauphine, Slides

2:45 pm - 3:00 pm Coffee Break

3:00 pm - 4:00 pm Invited Session
Alfred Hero, University of Michigan, "Continuum limits of shortest paths," Slides
Daniel Roy, University of Toronto, "On Extended Admissible Procedures and their Nonstandard Bayes Risk," Slides

4:00 pm - 5:30 pm Panel: Views from the Rising Stars
Panelists: Ruobin Gong, Harvard University; Jan Hannig, University of North Carolina Chapel Hill; Keli Liu, Stanford University; Ryan Martin, North Carolina State University; Tyler VanderWeele, Harvard TH Chan School of Public Health
Moderator: Pierre Jacob, Harvard University

7:00 pm Evening Banquet
Speaker: Stephen Stigler, University of Chicago, "Risky Business"

Tuesday, May 2

9:00 am - 10:15 am Featured Discussion: The Secret Life of I.J. Good
Speaker: Sandy Zabell, Northwestern University
Discussant: Cynthia Dwork, Harvard University, Slides

10:15 am - 10:30 am Coffee Break

10:30 am - 12:00 noon Invited Session
Vladimir Vovk, University of London, "Nonparametric predictive distributions," Slides
Don Fraser, University of Toronto, "Distributions for theta: Validity and Risks," Slides
Antonietta Mira, Universita della Svizzera Italiana, "Deriving Bayesian and frequentist estimators from time-invariance estimating equations: a unifying approach," Slides

12:00 noon - 1:30 pm Break for Lunch

1:30 pm - 2:45 pm Featured Discussion: BFF Four--Are We Converging?
Speaker: Nancy Reid, University of Toronto, Slides
Discussant: Deborah Mayo, Virginia Tech, Slides

2:45 pm - 3:00 pm Coffee Break

3:00 pm - 4:00 pm Invited Session
James M. Robins, Harvard TH Chan School of Public Health, "Counterexamples to Bayesian, Pure-Likelihoodist, and Conditional Inference in Biased-Coin Randomized Experiments and Observational Studies: Implications for Foundations and for Practice," Slides
Larry Brown, Wharton School of the University of Pennsylvania, "Empirical Bayes Prediction under Check Loss," Slides

4:00 pm - 5:30 pm Panel: Perspectives of the Pioneers
Panelists: Jim Berger, Duke University; Larry Brown, Wharton School of the University of Pennsylvania; David Cox, Oxford University via remote participation; Don Fraser, University of Toronto; Nancy Reid, University of Toronto
Moderator: Vijay Nair, University of Michigan

Wednesday, May 3

9:00 am - 10:15 am Featured Discussion: Randomisation isn't perfect but doing better is harder than you think
Speaker: Stephen Senn, Luxembourg Institute of Health, Slides
Discussant: Ned Hall, Harvard University

10:15 am - 10:30 am Coffee Break

10:30 am - 12:00 noon Invited Session
Jim Berger, Duke University, "An Objective Prior for Hyperparameters in Normal Hierarchical Models," Slides
Harry Crane, Rutgers University, "Probabilities as Shapes," Slides
Peter Song, University of Michigan, "Confidence Distributions with Estimating Functions: Efficiency and Computing on Spark Platform"

12:00 noon - 1:30 pm Break for Lunch

1:30 pm - 2:45 pm Featured Discussion: Modeling Imprecise Degrees of Belief
Speaker: Susanna Rinard, Harvard University
Discussant: Andrew Gelman, Columbia University

2:45 pm - 3:00 pm Coffee Break

3:00 pm - 4:00 pm Invited Session
Nils Lid Hjort, University of Oslo, "Data Fusion with Confidence Distributions: The II-CC-FF Paradigm," Slides
Gunnar Taraldsen, Norwegian University of Science and Technology, "Improper priors and fiducial inference," Slides

4:00 pm - 5:30 pm Panel: The Scientific Impact of Foundational Thinking
Panelists: Emery Brown, Massachusetts Institute of Technology and Massachusetts General Hospital; Paul Edlefsen, Fred Hutchinson Cancer Research Center; Andrew Gelman, Columbia University; Regina Liu, Rutgers University; Donald B. Rubin, Harvard University
Moderator: Min-ge Xie, Rutgers University