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20082023
most citedApplicability and Interpretability of Hierarchical Agglomerative Clustering With or Without Contiguity Constraints

92 citations · 463 across the 20 of their papers we have counts for

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7 papers · 1 filter

math.ST2019

On agnostic post hoc approaches to false positive control

Gilles Blanchard, Pierre Neuvial, Etienne Roquain

This document is a book chapter which gives a partial survey on post hoc approaches to false positive control.

math.ST2019★ 2 cited

Adjacency-constrained hierarchical clustering of a band similarity matrix with application to Genomics

Christophe Ambroise, Alia Dehman, Pierre Neuvial +2

Motivation: Genomic data analyses such as Genome-Wide Association Studies (GWAS) or Hi-C studies are often faced with the problem of partitioning chromosomes into successive region…

math.ST2018★ 4 cited

Post hoc false positive control for spatially structured hypotheses

Guillermo Durand, Gilles Blanchard, Pierre Neuvial +1

In a high dimensional multiple testing framework, we present new confidence bounds on the false positives contained in subsets S of selected null hypotheses. The coverage probabili…

math.ST2018★ 17 cited

On the Post Selection Inference constant under Restricted Isometry Properties

François Bachoc, Gilles Blanchard, Pierre Neuvial

Uniformly valid confidence intervals post model selection in regression can be constructed based on Post-Selection Inference (PoSI) constants. PoSI constants are minimal for orthog…

math.ST2017★ 49 cited

Post hoc inference via joint family-wise error rate control

Gilles Blanchard, Pierre Neuvial, Etienne Roquain

We introduce a general methodology for post hoc inference in a large-scale multiple testing framework. The approach is called "user-agnostic" in the sense that the statistical guar…

math.ST2010

Asymptotic Results on Adaptive False Discovery Rate Controlling Procedures Based on Kernel Estimators

Pierre Neuvial

The False Discovery Rate (FDR) is a commonly used type I error rate in multiple testing problems. It is defined as the expected False Discovery Proportion (FDP), that is, the expec…