Variance-estimation-free test of significant covariates in high-dimensional regression
From MaRDI portal
Publication:5042192
DOI10.1080/03610918.2020.1790601OpenAlexW3042130949MaRDI QIDQ5042192
Publication date: 18 October 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2020.1790601
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Testing against a high-dimensional alternative in the generalized linear model: asymptotic type I error control
- Testing a single regression coefficient in high dimensional linear models
- Rank-based score tests for high-dimensional regression coefficients
- Generalized \(F\) test for high dimensional linear regression coefficients
- Testing covariates in high-dimensional regression
- Globally adaptive quantile regression with ultra-high dimensional data
- A test for the mean vector with fewer observations than the dimension under non-normality
- A test for the mean vector in large dimension and small samples
- Estimations for some functions of covariance matrix in high dimension under non-normality and its applications
- Tests for covariance matrices in high dimension with less sample size
- A new test for part of high dimensional regression coefficients
- Testing Against a High Dimensional Alternative
- Sure Independence Screening for Ultrahigh Dimensional Feature Space
- Variance Estimation Using Refitted Cross-Validation in Ultrahigh Dimensional Regression
- Tests for High-Dimensional Covariance Matrices
- Tests for High-Dimensional Regression Coefficients With Factorial Designs
This page was built for publication: Variance-estimation-free test of significant covariates in high-dimensional regression