Classical inference methods notoriously fail when applied to data-driven...
In this article we develop a method for performing post hoc inference of...
Cluster-level inference procedures are widely used for brain mapping. Th...
This work is motivated by the study of local protein structure, which is...
We address the multiple testing problem under the assumption that the
tr...
We propose a methodology for the identification of transcription factors...
This document is a book chapter which gives a partial survey on post hoc...
Hierarchical Agglomerative Classification (HAC) with Ward's linkage has ...
Motivation: Genomic data analyses such as Genome-Wide Association Studie...
In a high dimensional multiple testing framework, we present new confide...
Uniformly valid confidence intervals post model selection in regression ...