3 citations · 6 across the 11 of their papers we have counts for
14 papers
Classification of multiple segmented profiles, application to the study of the neuronal protein Tau
Vincent Brault, Emilie Lebarbier, Amélie Rosier +1
This work is motivated by an application in neuroscience, in particular by the study of the (dys)functioning of a protein called Tau. The objective is to establish a classification…
A new segmentation method for the homogenisation of GNSS-derived IWV time-series
Annarosa Quarello, Olivier Bock, Emilie Lebarbier
Homogenization is an important and crucial step to improve the usage of observational data for climate analysis. This work is motivated by the analysis of long series of GNSS Integ…
A novel regularized approach for functional data clustering: An application to milking kinetics in dairy goats
C. Denis, E. Lebarbier, C. Lévy-Leduc +2
Motivated by an application to the clustering of milking kinetics of dairy goats, we propose in this paper a novel approach for functional data clustering. This issue is of growing…
A breakpoint detection in the mean model with heterogeneous variance on fixed time-intervals
Olivier Bock, Xavier Collilieux, François Guillamon +2
This work is motivated by an application for the homogeneization of GNSS-derived IWV (Integrated Water Vapour) series. Indeed, these GPS series are affected by abrupt changes due t…
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…
A Bayesian approach for the segmentation of series corrupted by a functional part
Meili Baragatti, Karine Bertin, Emilie Lebarbier +1
We propose a Bayesian approach to detect multiple change-points in a piecewise-constant signal corrupted by a functional part corresponding to environmental or experimental disturb…