An application of MCMC methods for the multiple change-points problem. - Marc Lavielle; E. Lebarbier (Signal Process., 2001)

Detecting multiple change-points in the mean of Gaussian process by model selection. - E. Lebarbier (Signal Process., 2005)

Exact Posterior Distributions over the Segmentation Space and Model Selection for Multiple Change-Point Detection Problems. - Guillem Rigaill; Emilie Lebarbier; Stéphane Robin (COMPSTAT, 2010)

Joint segmentation of multivariate Gaussian processes using mixed linear models. - Franck Picard; Emilie Lebarbier; E. Budinskà; Stéphane Robin (Comput. Stat. Data Anal., 2011)

Exact posterior distributions and model selection criteria for multiple change-point detection problems. - Guillem Rigaill; Emilie Lebarbier; Stéphane Robin (Stat. Comput., 2012)

Segmentor3IsBack: an R package for the fast and exact segmentation of Seq-data. - Alice Cleynen; Michel Koskas; Emilie Lebarbier; Guillem Rigaill; Stéphane Robin (Algorithms Mol. Biol., 2014)

SegCorr a statistical procedure for the detection of genomic regions of correlated expression. - Eleni Ioanna Delatola; Emilie Lebarbier; Tristan Mary-Huard; François Radvanyi; Stéphane Robin; Jennifer Wong (BMC Bioinform., 2017)

A breakpoint detection in the mean model with heterogeneous variance on fixed time intervals. - Olivier Bock; Xavier Collilieux; François Guillamon; Emilie Lebarbier; Claire Pascal (Stat. Comput., 2020)

GNSSseg, a Statistical Method for the Segmentation of Daily GNSS IWV Time Series. - Annarosa Quarello; Olivier Bock; Emilie Lebarbier (Remote. Sens., 2022)

Trend of high dimensional time series estimation using low-rank matrix factorization: heuristics and numerical experiments via the TrendTM package. - Emilie Lebarbier; Nicolas Marie; Amélie Rosier (Comput. Stat., 2025)