57 citations · 100 across the 10 of their papers we have counts for
11 papers
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…
RKHSMetaMod: An R package to estimate the Hoeffding decomposition of a complex model by solving RKHS ridge group sparse optimization problem
Halaleh Kamari, Sylvie Huet, Marie-Luce Taupin
In this paper, we propose an R package, called RKHSMetaMod, that implements a procedure for estimating a meta-model of a complex model. The meta-model approximates the Hoeffding de…
Testing k-monotonicity of a discrete distribution. Application to the estimation of the number of classes in a population
Jade Giguelay, Sylvie Huet
We develop here several goodness-of-fit tests for testing the k-monotonicity of a discrete density, based on the empirical distribution of the observations. Our tests are non-param…
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…
Nonparametric species richness estimation under convexity constraint
Cécile Durot, Sylvie Huet, François Koladjo +1
We consider the estimation of the total number of species based on the abundances of species that have been observed. We adopt a non parametric approach where the true abundanc…
Estimation of a convex discrete distribution
Cécile Durot, François Koladjo, Sylvie Huet +1
Non-parametric estimation of a convex discrete distribution may be of interest in several applications, such as the estimation of species abundance distribution in ecology. In this…