Semiparametric Time‐Varying Coefficients Regression Model for Longitudinal Data

By Yanqing Sun, Hulin Wu. 2005

59 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/b956c7c7f76df3243cb311b658461922e1f33213

How researchers see this paper

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

In Artificial Intelligence

1. Jianhui Zhou
2. Huixia Judy Wang
3. Zhongyi Zhu

In Statistics and Probability

1. Jianhui Zhou
2. Huixia Judy Wang
3. Zhongyi Zhu
4. Xuming He
5. Yunwen Yang
6. Ying Wei

Citations in the corpus

• Efficient Estimation in Marginal Partially Linear Models for Longitudinal/Clustered Data Using Splines (2007, unknown): “…Brumback & Rice (1998), Staniswalis & Lee (1998), Hoover et al. (1998), Wu et al. (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.”
• Quantile regression in partially linear varying coefficient models (2009, methodology): “The PLVC models have been studied by Ahmad, Leelahanon and Li [1] and Fan and Huang [4] for cross-sectional data, and by Sun and Wu [23] and Fan, Huang and Li [5] for longitudinal data.”