activity
20082022
most citedOverlapping stochastic block models with application to the French political blogosphere

140 citations · 215 across the 18 of their papers we have counts for

collaborators
Showing stat.APShow all

9 papers · 1 filter

stat.AP2020★ 4 cited

Hierarchical correction of p-values via an ultrametric tree running Ornstein-Uhlenbeck process

Antoine Bichat, Christophe Ambroise, Mahendra Mariadassou

Statistical testing is classically used as an exploratory tool to search for association between a phenotype and many possible explanatory variables. This approach often leads to m…

stat.AP2020

Accounting for missing actors in interaction network inference from abundance data

Raphaëlle Momal, Stéphane Robin, Christophe Ambroise

Network inference aims at unraveling the dependency structure relating jointly observed variables. Graphical models provide a general framework to distinguish between marginal and…

stat.AP2019

Tree-based Inference of Species Interaction Network from Abundance Data

Raphaëlle Momal, Stéphane Robin, Christophe Ambroise

The behavior of ecological systems mainly relies on the interactions between the species it involves. We consider the problem of inferring the species interaction network from abun…

stat.AP2018

Fast Computation of Genome-Metagenome Interaction Effects

Florent Guinot, Marie Szafranski, Julien Chiquet +4

Motivation. Association studies have been widely used to search for associations between common genetic variants observations and a given phenotype. However, it is now generally ac…

stat.AP2016

Eigen-Epistasis for detecting Gene-Gene interactions

Virginie Stanislas, Cyril Dalmasso, Christophe Ambroise

A large amount of research has been devoted to the detection and investigation of epistatic interactions in genome-wide association studies (GWASs). Most of the literature focuses…

stat.AP2015

Beyond Support in Two-Stage Variable Selection

Jean-Michel Bécu, Yves Grandvalet, Christophe Ambroise +1

Numerous variable selection methods rely on a two-stage procedure, where a sparsity-inducing penalty is used in the first stage to predict the support, which is then conveyed to th…