3 citations · 12 across the 17 of their papers we have counts for
Showing 2022 · stat.MEShow all
2 papers · 2 filters
stat.ME2022★ 1 cited
Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST)
Jimmy Hickey, Jonathan P. Williams, Emily C. Hector
Transfer learning uses a data model, trained to make predictions or inferences on data from one population, to make reliable predictions or inferences on data from another populati…
stat.ME2022★ 3 cited
Generalized Fiducial Inference on Differentiable Manifolds
Alexander C Murph, Jan Hannig, Jonathan P Williams
We introduce a novel approach to inference on parameters that take values in a Riemannian manifold embedded in a Euclidean space. Parameter spaces of this form are ubiquitous acros…