13 citations · 16 across the 5 of their papers we have counts for
4 papers · 1 filter
Learning the Dynamics of Sparsely Observed Interacting Systems
Linus Bleistein, Adeline Fermanian, Anne-Sophie Jannot +1
We address the problem of learning the dynamics of an unknown non-parametric system linking a target and a feature time series. The feature time series is measured on a sparse and…
Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework
Simon Bussy, Raphaël Veil, Vincent Looten +5
Background: Choosing the most performing method in terms of outcome prediction or variables selection is a recurring problem in prognosis studies, leading to many publications on m…
Binacox: automatic cut-point detection in high-dimensional Cox model with applications in genetics
Simon Bussy, Mokhtar Z. Alaya, Anne-Sophie Jannot +1
We introduce the binacox, a prognostic method to deal with the problem of detecting multiple cut-points per features in a multivariate setting where a large number of continuous fe…
C-mix: a high dimensional mixture model for censored durations, with applications to genetic data
Simon Bussy, Agathe Guilloux, Stéphane Gaïffas +1
We introduce a mixture model for censored durations (C-mix), and develop maximum likelihood inference for the joint estimation of the time distributions and latent regression param…