Hundreds of millions of hectares of tropical forest have been selectively logged, either
legally or illegally. Methods for detecting and monitoring tropical selective logging using …

Selective logging is the primary driver of forest degradation in the tropics and reduces the
capacity of forests to harbour biodiversity, maintain key ecosystem processes, sequester …

We study a stylized multiple testing problem where the test statistics are independent and
assumed to have the same distribution under their respective null hypotheses. We first show …

Supplement to “Variable selection with Hamming loss”. We derive a general lower bound for
the minimax risk over all selectors on the class of at most s-sparse vectors. The main term of …

ABSTRACT Sorted L-One Penalized Estimation (SLOPE; Bogdan et al.,) is a relatively new
convex optimization procedure, which allows for adaptive selection of regressors under …

On spike and slab empirical Bayes multiple testing Page 1 The Annals of Statistics 2020, Vol.
48, No. 5, 2548–2574 https://doi.org/10.1214/19-AOS1897 © Institute of Mathematical …

Abstract Sorted L-One Penalized Estimator (SLOPE) is a relatively new convex optimization
procedure for selecting predictors in high dimensional regression analyses. SLOPE extends …

Classical multiple testing theory prescribes the null distribution, which is often too stringent
an assumption for nowadays large scale experiments. This paper presents theoretical …

Multiple hypothesis testing is a central topic in statistics. However, despite abundant
research on the false discovery rate (FDR) and the corresponding Type-II error concept …

New procedures controlling the false discovery proportion via Romano-Wolf's heuristic Page 1
The Annals of Statistics 2015, Vol. 43, No. 3, 1141–1177 DOI: 10.1214/14-AOS1302 © Institute …