3 citations · 6 across the 11 of their papers we have counts for
5 papers · 1 filter
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…
Estimating the number of change-points in a two-dimensional segmentation model without penalization
V. Brault, M. Delattre, E. Lebarbier +2
In computational biology, numerous recent studies have been dedicated to the analysis of the chromatin structure within the cell by two-dimensional segmentation methods. Motivated…
Model selection for the segmentation of multiparameter exponential family distributions
Alice Cleynen, Emilie Lebarbier
We consider the segmentation problem of univariate distributions from the exponential family with multiple parameters. In segmentation, the choice of the number of segments remains…
Segmentation of the Poisson and negative binomial rate models: a penalized estimator
Alice Cleynen, Emilie Lebarbier
We consider the segmentation problem of Poisson and negative binomial (i.e. overdispersed Poisson) rate distributions. In segmentation, an important issue remains the choice of the…
Estimating the joint distribution of independent categorical variables via model selection
C. Durot, E. Lebarbier, A. -S. Tocquet
Assume one observes independent categorical variables or, equivalently, one observes the corresponding multinomial variables. Estimating the distribution of the observed sequence a…