3 papers
stat.ME2026
A general nonparametric framework for testing hypotheses about function-valued parameters
Albert Osom, Ali Shojaie, Aaron Hudson
We present a general nonparametric approach for testing whether a statistical parameter defined through conditional distributions is constant across the conditioning variables. Suc…
stat.ME2026
Generalized projection tests for function-valued parameters with applications to testing structural causal assumptions
Rui Wang, Albert Osom, Bo Zhang
Structural assumptions are central to the causal inference literature. In practice, it is often crucial to assess their validity or to test implications that follow from them. In m…
stat.ME2026
Developing Performance-Guaranteed Biomarker Combination Rules with Integrated External Information under Practical Constraint
Albert Osom, Camden Lopez, Ashley Alexander +3
In clinical practice, there is significant interest in integrating novel biomarkers with existing clinical data to construct interpretable and robust decision rules. Motivated by t…