3 citations · 6 across the 11 of their papers we have counts for
6 papers · 1 filter
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 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 factor model approach for the joint segmentation with between-series correlation
Xavier Collilieux, Emilie Lebarbier, Stéphane Robin
We consider the segmentation of set of correlated time-series, the correlation being allowed to take an arbitrary form but being the same at each time-position. We show that encodi…
Segmentation of multiple series using a Lasso strategy
Karine Bertin, Xavier Collilieux, Emilie Lebarbier +1
We propose a new semi-parametric approach to the joint segmentation of multiple series corrupted by a functional part. This problem appears in particular in geodesy where GPS perma…