BFF 6.5 -- Virtual Workshop on Bayesian, Fiducial, and Frequentist Statistical Inference

Friday, February 5th, 2021
* All times are in the America/New_York timezone.

Description:

The Bayesian, Fiducial, and Frequentist (BFF) group is working at the forefront of key foundational developments in statistics, data science, and related fields. In this installment of the group's series of workshops, the first in a virtual format, the focus will be on identifying important open problems in the various research threads and on recent advances by the next generation of BFFs. The workshop will feature presentations from leading experts and junior researchers, along with open discussions.

Registration fee:

$25

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Schedule

Friday, February 5th, 2021
Jan Hannig
Generalized fiducial inference and the future
Michael Evans
Is it possible for Bayesian and frequentist statistics to coexist as contributors to a theory of statistical reasoning?
Ryan Martin
Imprecise probability in frequentist inference
Ruobin Gong
A Gibbs sampler for a class of random convex polytopes
Nicholas Syring
Concentration of Gibbs Posterior Distributions
Emily C. Hector
Accelerated distributed inference through a unified Fiducial and Frequentist paradigm
Jonathan Williams
Generalized fiducial factor: an alternative to a Bayes factor for forensic identification of source problems
Suzanne Thornton
Confidence distribution theory and the harmonies of Bayesian, fiducial, and frequentist inference

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