Smoothing spline estimation in varying‐coefficient models

100 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Efficient Estimation in Marginal Partially Linear Models for Longitudinal/Clustered Data Using Splines (2007, background): “(1998), Fan & Zhang (2000), Lin & Carroll (2000), Chiang et al. (2001), Lin & Ying (2001), Martinussen & Scheike (2001), Wu & Zhang (2002), Wu & Liang (2004), Fan & Li (2004), Sun & Wu (2005), among many others. It is well known that a fully non-parametric regression model suffers from the ‘curse of”
Functional Coefficient Regression Models for Non‐linear Time Series: A Polynomial Spline Approach (2004, methodology): “…coefficient models (or varying-coefficient models) have been paid much attention recently, but most of the work has focused on i.i.d. data or longitudinal data (Hastie & Tibshirani, 1993; Hoover et al., 1998; Wu et al., 1998; Fan & Zhang, 1999, 2000; Chiang et al., 2001; Huang et al., 2002).”