9 citations · 14 across the 4 of their papers we have counts for
5 papers
Iterative Isotonic Regression
Arnaud Guyader, Nick Hengartner, Nicolas Jégou +1
This article introduces a new nonparametric method for estimating a univariate regression function of bounded variation. The method exploits the Jordan decomposition which states t…
Recursive bias estimation for multivariate regression smoothers
P. A. Cornillon, N. Hengartner, E. Matzner-Løber
This paper presents a practical and simple fully nonparametric multivariate smoothing procedure that adapts to the underlying smoothness of the true regression function. Our estima…
Iterative bias reduction multivariate smoothing in R: The ibr package
P. A. Cornillon, N. Hengartner, E. Matzner-Løber
In multivariate nonparametric analysis, sparseness of the covariates also called curse of dimensionality, forces one to use large smoothing parameters. This leads to a biased smoot…
Multiplicative Bias Corrected Nonparametric Smoothers
Nicolas Hengartner, Eric Matzner-Løber, Laurent Rouvière +1
The paper presents a multiplicative bias reduction estimator for nonparametric regression. The approach consists to apply a multiplicative bias correction to an oversmooth pilot es…
Recursive Bias Estimation and Boosting
Pierre Andre Cornillon, Nicolas Hengartner, Eric Matzner-Lober
This paper presents a general iterative bias correction procedure for regression smoothers. This bias reduction schema is shown to correspond operationally to the Boosting al…