scholarly journals Smooth backfitting for additive modeling with small errors-in-variables, with an application to additive functional regression for multiple predictor functions

Bernoulli ◽  
2018 ◽  
Vol 24 (2) ◽  
pp. 1233-1265 ◽  
Author(s):  
Kyunghee Han ◽  
Hans-Georg Müller ◽  
Byeong U. Park
Author(s):  
Frédéric Ferraty ◽  
Philippe Vieu

This article presents a unifying classification for functional regression modeling, and more specifically for modeling the link between two variables X and Y, when the explanatory variable (X) is of a functional nature. It first provides a background on the proposed classification of regression models, focusing on the regression problem and defining parametric, semiparametric, and nonparametric models, and explains how semiparametric modeling can be interpreted in terms of dimension reduction. It then gives four examples of functional regression models, namely: functional linear regression model, additive functional regression model, smooth nonparametric functional model, and single functional index model. It also considers a number of new models, directly adapted to functional variables from the existing standard multivariate literature.


2023 ◽  
Author(s):  
Xiaohui Liu ◽  
Wenqi Lu ◽  
Heng Lian ◽  
Yuzi Liu ◽  
Zhongyi Zhu

2019 ◽  
Vol 115 (530) ◽  
pp. 997-1010 ◽  
Author(s):  
Kyunghee Han ◽  
Hans-Georg Müller ◽  
Byeong U. Park

2013 ◽  
Vol 59 (2) ◽  
pp. 299-320
Author(s):  
M. Eshaghi Gordji ◽  
Y.J. Cho ◽  
H. Khodaei ◽  
M. Ghanifard

Abstract In this paper, we investigate the general solution and the generalized stability for the quartic, cubic and additive functional equation (briefly, QCA-functional equation) for any k∈ℤ-{0,±1} in Menger probabilistic normed spaces.


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