A one-covariate-at-a-time multiple testing approach to variable selection in additive models
| Year of publication: |
2024
|
|---|---|
| Authors: | Su, Liangjun ; Yang, Thomas Tao ; Zhang, Yonghui ; Zhou, Qiankun |
| Published in: |
Econometric reviews. - Philadelphia, Pa. : Taylor & Francis, ISSN 1532-4168, ZDB-ID 2041746-9. - Vol. 43.2024, 9, p. 671-712
|
| Subject: | Additive model | high dimensionality | model selection | multiple testing | nonparametric | one covariate at a time | Nichtparametrisches Verfahren | Nonparametric statistics | Statistischer Test | Statistical test | Regressionsanalyse | Regression analysis | Schätztheorie | Estimation theory | Bootstrap-Verfahren | Bootstrap approach | Zeitreihenanalyse | Time series analysis |
-
Testing conditional independence via empirical likelihood
Su, Liangjun, (2014)
-
Big data analytics : a new perspective
Chudik, Alexander, (2016)
-
Big data analytics : a new perspective
Chudik, Akexander, (2016)
- More ...
-
Specification tests for time-varying coefficient panel data models
Atak, Alev, (2025)
-
Specification test for panel data models with interactive fixed effects
Su, Liangjun, (2015)
-
A practical test for strict exogeneity in linear panel data models with fixed effects
Su, Liangjun, (2016)
- More ...