Empirical likelihood for partial linear models
By Qihua Wang, Bing-Yi Jing. 2003
52 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/ea325f9a4a1ecc02165edda905d7dd72c8967e88
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
- I. Van Keilegom
- Songxi Chen
- Olivier Scaillet
- Maria Pacurar
- Tommaso Cai
- Masayuki Hirukawa
- Mari Sakudo
- M. Chris Jones
In Statistics and Probability
- I. Van Keilegom
- Songxi Chen
- Tommaso Cai
- Xiaohong Chen
- Wenceslao González-Manteiga
- Olivier Scaillet
- Maria Pacurar
- Rosa M. Crujeiras
Citations in the corpus
- A review on empirical likelihood methods for regression (2009, background): “In the context of semiparametric regression, Shi and Lau (2000) considered a partially linear regression with xed design, and obtained a similar result as Wang and Jing (2003) did for random design.”