2 papers
stat.ME2026
Full-conformal novelty detection
Junu Lee, Ilia Popov, Zhimei Ren
This paper presents a powerful methodology for flexible full-data nonparametric novelty detection that offers distribution-free false discovery rate (FDR) control guarantees. Build…
math.ST2026
Power of masking methods for adaptive testing in a multivariate normal means problem
Abhinav Chakraborty, Junu Lee, Eugene Katsevich
Many large-scale testing procedures learn signal structure from the data to boost power. Direct data reuse can inflate Type-I error ("double dipping"), so a common remedy is maskin…