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.

The community collectively organizes an annual BFF conference series (past conferences). These conferences have served as an opportunity for statisticians, computer scientists, mathematicians and philosophers with shared interests to come together and examine different inferential paradigms, discuss novel methodologies and computation, and embark on a discourse on the principles and practices of inference under uncertainty.