Estimation and Testing for Varying Coefficients in Additive Models With Marginal Integration

By Lijian Yang, Byeong U. Park, Lan Xue, Wolfgang Karl Härdle. 2006

56 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/5d4025d07e2e0b9334105700d47f228487a92151

How researchers see this paper

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

In Statistics and Probability

1. Eun Ryung Lee
2. Young K. Lee
3. Byeong U. Park
4. Enno Mammen
5. James W. Taylor
6. Juan-Carlos Escanciano
7. Dimitris Nicolas Politis
8. Lijian Yang

Citations in the corpus

• Oracally Efficient Two-Step Estimation of Generalized Additive Model (2013, unknown): “…(1994), Linton and Nielsen (1995), Linton (1997), Fan, Härdle, and Mammen (1998), Yang, Härdle, and Nielsen (1999), Xue and Yang (2006b), and Yang et al. (2006) for kernel methods; and more recently, the spline-backfitted kernel (SBK) smoothing methods of Wang and Yang (2007), Wang and Yang…”
• Varying Coefficient Regression Models: A Review and New Developments (2015, methodology): “Some works on testing problems arising from model (1.2) include Yang et al. (2006), Ip et al. (2007), and Park et al. (2011).”
• Flexible generalized varying coefficient regression models (2012, methodology): “A more deliberate choice is a version of the marginal integration estimator studied by Yang et al. (2006), or a spline estimator that we discussed in Section 2.”