Sep 6, 2023 · This paper presents several robust methods build upon the functional principal component analysis for modeling and predicting scalar-on-function and function- ...
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Using a readily-available R package robflreg, this paper presents several robust methods build upon the functional principal component analysis for modeling and ...
Robust estimators for semi-functional linear regression models are constructed combining -splines to approximate both the functional regression parameter and ...
We therefore introduce a Fisher-consistent robust functional linear regression model that is able to effectively fit data in the presence of outliers.
Robust penalized estimators for the functional linear model. The main function mm.pen.sp() is in the directory named "Main function (MM P-splines).R".
Using a readily-available R package robflreg, this paper presents several robust methods build upon the functional principal component analysis for modeling and ...
Aug 30, 2019 · We therefore introduce a Fisher-consistent robust functional linear regression model that is able to effectively fit data in the presence of outliers.
This functional framework allows to profit from qualitative assumptions like smoothness of un- derlying curves. This type of regression model was first ...
Abstract: We investigate the theoretical properties of robust estimators for the re- gression coefficient function in functional linear regression.
We extend three robust tests – Wald-type, the likelihood ratio-type and F-type in functional linear models with the scalar dependent variable and the functional ...
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