A New Regression Model: Modal Linear Regression

By Weixin Yao, Longhai Li. 2014

243 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/8862561c9eff3e42688dcafa319e5d36478c0dd8

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. Jicai Liu
2. Riquan Zhang
3. Yazhao Lv
4. Weihua Zhao
5. Weixin Yao

In Statistics and Probability

1. Jicai Liu
2. Riquan Zhang
3. Yazhao Lv
4. Weihua Zhao
5. Chun Yu
6. Weixin Yao

Citations in the corpus

• Robust linear regression: A review and comparison (2014, background): “Lee (1989, 1993), Kemp and Santos Silva (2012), and Yao and Li (2014) proposed modal regression to robustly estimate the regression function.”
• Robust and efficient variable selection for semiparametric partially linear varying coefficient model based on modal regression (2013, methodology): “For the linear regression model yi = xT i β + εi , Yao and Li (2011) proposed to estimate the regression parameter β by maximizing”