Given a reference model that includes all the available variables, proje...
We explore the limitations of and best practices for using black-box
var...
Projection predictive inference is a decision theoretic Bayesian approac...
We consider the problem of fitting variational posterior approximations ...
Many data sets contain an inherent multilevel structure, for example, be...