5 papers
Compound p-values for competition-based testing
Junu Lee, Rina Foygel Barber, Richard J. Samworth +1
Standard competition-based multiple testing methods -- such as the knockoff filter and the target-decoy procedure -- are typically formulated as head-to-head competitions between a…
Sample-Efficient Multiple Testing with Adaptive Data Collection
Zhanran Lin, Wanteng Ma, Zhimei Ren +1
This paper studies adaptive experimental design for multiple testing, where an experimenter sequentially chooses which hypothesis to sample. We propose the e-value-based posterior…
An analysis of binary isotonic regression: degrees of freedom and implications for calibration
Raphael Rossellini, Rina Foygel Barber, Zhimei Ren +1
Isotonic regression is a canonical tool for estimating monotone functions and calibrating probabilistic predictors. We provide a fully sharp finite-sample characterization of its w…
Can a calibration metric be both testable and actionable?
Raphael Rossellini, Jake A. Soloff, Rina Foygel Barber +2
Forecast probabilities often serve as critical inputs for binary decision making. In such settings, calibration$\unicode{x2014}$ensuring forecasted probabilities match empirical fr…
Simultaneous activity and attenuation estimation in TOF-PET with TV-constrained nonconvex optimization
Zhimei Ren, Emil Y. Sidky, Rina Foygel Barber +2
An alternating direction method of multipliers (ADMM) framework is developed for nonsmooth biconvex optimization for inverse problems in imaging. In particular, the simultaneous es…