4 citations · 4 across the 3 of their papers we have counts for
3 papers
math.ST2026
Induction and the rule of succession through a possibilistic inferential model lens
Ryan Martin, Shih-Ni Prim, Max Raner +1
Induction is the process by which empirical evidence is transformed to knowledge. Hume famously argued---and Popper and others agree---that there can be no logical justification fo…
stat.ME2025
Valid and efficient possibilistic structure learning in Gaussian linear regression
Ryan Martin, Naomi Singer, Jonathan Williams
A crucial step in fitting a regression model to data is determining the model's structure, i.e., the subset of explanatory variables to be included. However, the uncertainty in thi…
math.ST2025★ 4 cited
Possibilistic inferential models: a review
Ryan Martin
An inferential model (IM) is a model describing the construction of provably reliable, data-driven uncertainty quantification and inference about relevant unknowns. IMs and Fisher'…