In the last decade a growing amount of statistical research has been devoted to multiple
testing, motivated by a variety of applications in medicine, bioinformatics, genomics, brain …

Objective To assess whether extracellular microRNAs (miRNAs) can be accurately profiled
from spent blastocyst culture media (SBM) and used as embryonic biomarkers. Design …

Driven by a wide range of contemporary applications, statistical inference for covariance
structures has been an active area of current research in high-dimensional statistics. This …

We revisit the apparent historical success of technical trading rules on daily prices of the
Dow Jones Industrial Average index from 1897 to 2011, and we use the false discovery rate …

The paper considers the problem of multiple testing under dependence in a compound
decision theoretic framework. The observed data are assumed to be generated from an …

Multiple hypothesis testing is a fundamental problem in high-dimensional inference, with
wide applications in many scientific fields. In genome-wide association studies, tens of …

Conditional calibration for false discovery rate control under dependence Page 1 The Annals of
Statistics 2022, Vol. 50, No. 6, 3091–3118 https://doi.org/10.1214/21-AOS2137 © Institute of …

In the context of multiple hypothesis testing, the proportion π0 of true null hypotheses in the
pool of hypotheses to test often plays a crucial role, although it is generally unknown a priori …

We use machine learning tools to analyze industry return predictability based on the
information in lagged industry returns from across the entire economy. Controlling for post …

We show that the control of the false discovery rate (FDR) for a multiple testing procedure is
implied by two coupled simple sufficient conditions. The first one, which we call “self …