221 citations · 434 across the 31 of their papers we have counts for
5 papers · 1 filter
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…
Incomplete graphical model inference via latent tree aggregation
Geneviève Robin, Christophe Ambroise, Stéphane Robin
Graphical network inference is used in many fields such as genomics or ecology to infer the conditional independence structure between variables, from measurements of gene expressi…
A multivariate variable selection approach for analyzing LC-MS metabolomics data
M. Perrot-Dockès, C. Lévy-Leduc, J. Chiquet +5
Omic data are characterized by the presence of strong dependence structures that result either from data acquisition or from some underlying biological processes. In metabolomics,…
Variational inference for probabilistic Poisson PCA
Julien Chiquet, Mahendra Mariadassou, Stéphane Robin
Many application domains such as ecology or genomics have to deal with multivariate non Gaussian observations. A typical example is the joint observation of the respective abundanc…