9 citations · 14 across the 3 of their papers we have counts for
3 papers
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…
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…