34 citations · 64 across the 6 of their papers we have counts for
6 papers
AutoRegressive Planet Search: Application to the Kepler Mission
Gabriel A. Caceres, Eric D. Feigelson, G. Jogesh Babu +5
The 4-year light curves of 156,717 stars observed with NASA's Kepler mission are analyzed using the AutoRegressive Planet Search (ARPS) methodology described by Caceres et al. (201…
AutoRegressive Planet Search: Methodology
Gabriel A. Caceres, Eric D. Feigelson, G. Jogesh Babu +5
The detection of periodic signals from transiting exoplanets is often impeded by extraneous aperiodic photometric variability, either intrinsic to the star or arising from the meas…
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…
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…
Bayesian Regression Analysis of Data with Random Effects Covariates from Nonlinear Longitudinal Measurements
Rolando De la Cruz, Cristian Meza, Ana Arribas-Gil +1
Joint models for a wide class of response variables and longitudinal measurements consist on a mixed-effects model to fit longitudinal trajectories whose random effects enter as co…
Lasso-type estimators for Semiparametric Nonlinear Mixed-Effects Models Estimation
Ana Arribas-Gil, Karine Bertin, Cristian Meza +1
Parametric nonlinear mixed effects models (NLMEs) are now widely used in biometrical studies, especially in pharmacokinetics research and HIV dynamics models, due to, among other a…