Partial functional linear regression

By Hyejin Shin. 2009

184 citations recorded by the source corpus.

Subfields: Applied Mathematics, Control and Systems Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/95f7c58928a7bb95f7c9180499ec738a66e8c8c5

How researchers see this paper

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

In Applied Mathematics

1. Kaijie Xue
2. Hao Helen Zhang
3. Dehan Kong
4. Fang Yao

In Control and Systems Engineering

1. Kaijie Xue
2. Hao Helen Zhang
3. Dehan Kong
4. Fang Yao
5. Francis R. Bach
6. Heng Lian

In Statistics and Probability

1. Hao Helen Zhang
2. Dehan Kong
3. Kaijie Xue
4. Fang Yao
5. H. Muller
6. Jane-ling Wang
7. Wolfgang Karl Härdle
8. Lijian Yang

Citations in the corpus

• Partially functional linear regression in high dimensions (2016, background): “Shin (2009) and Lu et al. (2014) considered similar partially functional linear and quantile models, respectively, but did not deal with variable selection or with multiple functional predictors and high-dimensional scalar covariates.”