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stat.ME2020
On the use of cross-validation for the calibration of the adaptive lasso
Ballout Nadim, Etievant Lola, Viallon Vivian
The adaptive lasso refers to a class of methods that use weighted versions of the -norm penalty, with weights derived from an initial estimate of the parameter vector to be es…
stat.ME2019
Sparse estimation for case-control studies with multiple subtypes of cases
Nadim Ballout, Cedric Garcia, Vivian Viallon
The analysis of case-control studies with several subtypes of cases is increasingly common, e.g. in cancer epidemiology. For matched designs, we show that a natural strategy is bas…
stat.ME2017
Structure estimation of binary graphical models on stratified data: application to the description of injury tables for victims of road accidents
Nadim Ballout, Vivian Viallon
Graphical models are used in many applications such as medical diagnostic, computer security, etc. More and more often, the estimation of such models has to be performed on several…