221 citations · 434 across the 31 of their papers we have counts for
15 papers · 1 filter
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…
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…
Variational inference for sparse network reconstruction from count data
Julien Chiquet, Mahendra Mariadassou, Stéphane Robin
In multivariate statistics, the question of finding direct interactions can be formulated as a problem of network inference - or network reconstruction - for which the Gaussian gra…
Using deterministic approximations to accelerate SMC for posterior sampling
Sophie Donnet, Stéphane Robin
Sequential Monte Carlo has become a standard tool for Bayesian Inference of complex models. This approach can be computationally demanding, especially when initialized from the pri…
Variational inference for coupled Hidden Markov Models applied to the joint detection of copy number variations
Xiaoqiang Wang, Emilie Lebarbier, Julie Aubert +1
Hidden Markov models provide a natural statistical framework for the detection of the copy number variations (CNV) in genomics. In this paper, we consider a Hidden Markov Model inv…