1 citations · 1 across the 3 of their papers we have counts for
4 papers
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…
Actively Learning Joint Contours of Multiple Computer Experiments
Shih-Ni Prim, Kevin R. Quinlan, Paul Hawkins +2
Contour location---the process of sequentially training a surrogate model to identify the design inputs that result in a pre-specified response value from a single computer experim…
A Spectral Confounder Adjustment for Spatial Regression with Multiple Exposures and Outcomes
Shih-Ni Prim, Yawen Guan, Shu Yang +4
Characterizing social vulnerability is fundamental to disaster response planning. Numerous vulnerability indicators have been developed, but they are typically not validated for th…
Decision-making with possibilistic inferential models
Ryan Martin, Shih-Ni Prim, Jonathan Williams
Inferential models (IMs) are data-dependent, imprecise-probabilistic structures designed to quantify uncertainty about unknowns. As the name suggests, the focus has been on uncerta…