activity
20122015
most citedNetwork impact on persistence in a finite population dynamic diffusion model: application to an emergent seed exchange network

14 citations · 18 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME20152 cited

SegCorr: a statistical procedure for the detection of genomic regions of correlated expression

Eleni Ioanna Delatola, Emilie Lebarbier, Tristan Mary-Huard +3

Motivation: Detecting local correlations in expression between neighbor genes along the genome has proved to be an effective strategy to identify possible causes of transcriptional…

stat.ME2014

Modelling overdispersion heterogeneity in differential expression analysis using mixtures

Elisabetta Bonafede, Franck Picard, Stéphane Robin +1

Next-generation sequencing technologies now constitute a method of choice to measure gene expression. Data to analyze are read counts, commonly modeled using Negative Binomial dist…

stat.OT201414 cited

Network impact on persistence in a finite population dynamic diffusion model: application to an emergent seed exchange network

Pierre Barbillon, Mathieu Thomas, Isabelle Goldringer +2

Dynamic extinction colonisation models (also called contact processes) are widely studied in epidemiology and in metapopulation theory. Contacts are usually assumed to be possible…

stat.ML20121 cited

Hidden Markov Models with mixtures as emission distributions

Stevenn Volant, Caroline Bérard, Marie-Laure Martin-Magniette +1

In unsupervised classification, Hidden Markov Models (HMM) are used to account for a neighborhood structure between observations. The emission distributions are often supposed to b…

stat.ME20121 cited

Estimation of a convex discrete distribution

Cécile Durot, François Koladjo, Sylvie Huet +1

Non-parametric estimation of a convex discrete distribution may be of interest in several applications, such as the estimation of species abundance distribution in ecology. In this…