4 citations · 7 across the 7 of their papers we have counts for
8 papers
On strongly coherent confidence envelopes for the false discoveries
Romain Périer, Gilles Blanchard, Guillermo Durand
Coherence is a long term notion in the literature of multiple testing. From FWER control multiple testing theory to confidence envelopes on the number of false positives, coherence…
Confidence envelopes for the false discoveries with heterogeneous data
Romain Périer, Gilles Blanchard, Sebastian Döhler +2
In the context of selective inference, confidence envelopes for the false discoveries allow the user to select any subset of null hypotheses while having a statistical guarantee on…
Fast confidence bounds for the false discovery proportion over a path of hypotheses
Guillermo Durand
This paper presents a new algorithm (and an additional trick) that allows to compute fastly an entire curve of post hoc bounds for the False Discovery Proportion when the underlyin…
FDR control and FDP bounds for conformal link prediction
Gilles Blanchard, Guillermo Durand, Ariane Marandon-Carlhian +1
In Marandon (2023), the author introduces a procedure to detect true edges from a partially observed graph using a conformal prediction fashion: first computing scores from a train…
DiscreteFDR: An R package for controlling the false discovery rate for discrete test statistics
Guillermo Durand, Florian Junge, Sebastian Döhler +1
The simultaneous analysis of many statistical tests is ubiquitous in applications. Perhaps the most popular error rate used for avoiding type one error inflation is the false disco…
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…
Adaptive p-value weighting with power optimality
Guillermo Durand
Weighting the p-values is a well-established strategy that improves the power of multiple testing procedures while dealing with heterogeneous data. However, how to achieve this tas…
Improving the Benjamini-Hochberg Procedure for Discrete Tests
Sebastian Döhler, Guillermo Durand, Etienne Roquain
To find interesting items in genome-wide association studies or next generation sequencing data, a crucial point is to design powerful false discovery rate (FDR) controlling proced…