28 citations · 44 across the 9 of their papers we have counts for
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stat.AP2017★ 1 cited
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,…
stat.ME2017★ 7 cited
Online Sequential Monte Carlo smoother for partially observed stochastic differential equations
Pierre Gloaguen, Marie-Pierre Etienne, Sylvain Le Corff
This paper introduces a new algorithm to approximate smoothed additive functionals for partially observed stochastic differential equations. This method relies on a recent procedur…