221 citations · 434 across the 31 of their papers we have counts for
38 papers
Hoeffding-type decomposition for -statistics on bipartite networks
Tâm Le Minh, Sophie Donnet, François Massol +1
We consider a broad class of random bipartite networks, the distribution of which is invariant under permutation within each type of nodes. We are interested in -statistics defi…
A robust model-based clustering based on the geometric median and the Median Covariation Matrix
Antoine Godichon-Baggioni, Stéphane Robin
Grouping observations into homogeneous groups is a recurrent task in statistical data analysis. We consider Gaussian Mixture Models, which are the most famous parametric model-base…
Querying multiple sets of -values through composed hypothesis testing
Tristan Mary-Huard, Sarmistha Das, Indranil Mukhopadhyay +1
Motivation: Combining the results of different experiments to exhibit complex patterns or to improve statistical power is a typical aim of data integration. The starting point of t…
Motif-based tests for bipartite networks
Sarah Ouadah, Pierre Latouche, Stéphane Robin
Bipartite networks are a natural representation of the interactions between entities from two different types. The organization (or topology) of such networks gives insight to unde…
Mixture-based estimation of entropy
Stéphane Robin, Luca Scrucca
The entropy is a measure of uncertainty that plays a central role in information theory. When the distribution of the data is unknown, an estimate of the entropy needs be obtained…
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…