12 citations · 28 across the 15 of their papers we have counts for
15 papers · 1 filter
Faster Learning under Relaxed Local Differential Privacy
Cristina Butucea, Huiyun Tang, Marie-Luce Taupin
We consider density estimation under the relaxed local differential privacy condition that the privatized distributions are -close in total variation distance. We show that addi…
A model-free Screening procedure
J Dedecker, M L Taupin, A S Tocquet
In this article, we propose a generic screening method for selecting explanatory variables correlated with the response variable Y . We make no assumptions about the existence of a…
Asymptotic confidence interval for R2 in multiple linear regression
J Dedecker, Odelia Guedj, Marie-Luce Taupin
Following White's approach of robust multiple linear regression, we give asymptotic confidence intervals for the multiple correlation coefficient R2 under minimal moment conditions…
Risk upper bounds for RKHS ridge group sparse estimator in the regression model with non-Gaussian and non-bounded error
Halaleh Kamari, Sylvie Huet, Marie-Luce Taupin
We consider the problem of estimating a meta-model of an unknown regression model with non-Gaussian and non-bounded error. The meta-model belongs to a reproducing kernel Hilbert sp…
Metamodel construction for sensitivity analysis
Sylvie Huet, Marie-Luce Taupin
We propose to estimate a metamodel and the sensitivity indices of a complex model m in the Gaussian regression framework. Our approach combines methods for sensitivity analysis of…
Model selection in logistic regression
Marius Kwemou, Marie-Luce Taupin, Anne-Sophie Tocquet
This paper is devoted to model selection in logistic regression. We extend the model selection principle introduced by Birgé and Massart (2001) to logistic regression model. This s…