The Bayesian, Fiducial, and Frequentist (BFF) community began in 2014 as a means to facilitate scientific exchange among statisticians and scholars in related fields that develop new methodologies with in mind the foundational principles of statistical inference. The community encourages and promotes research activities to bridge foundations for statistical inferences, to facilitate objective and replicable scientific learning, and to develop analytic and computing methodologies for data analysis.

Over the last eight years, BFF meetings have served as a venue for researchers and practitioners to share ideas, update research progress, highlight important open problems in both theory and implementation, and most importantly discuss future directions of such research.

Previous iterations of the BFF have taken place at Duke University (BFF6), University of Michigan (BFF5), Harvard University (BFF4), Rutgers University (BFF3), and East China Normal University (BFF1 & BFF2). 

This edition of the conference will focus is on  methodological, computational and ethical principles of data science and is dedicated to the memory of our late colleague, Donald A. S. Fraser.

Conference Webpage: https://gravitypull.swoogo.com/BFF7