Computationally efficient variational-like approximations of possibilistic inferential models

Leonardo Cella, Ryan Martin

Inferential models (IMs) offer provably reliable, data-driven, possibilistic statistical inference. But despite the IM framework's theoretical and foundational advantages, efficien…