A Random Projection Approach to Hypothesis Tests in High-Dimensional Single-Index Models
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Publication:6567896
DOI10.1080/01621459.2022.2156350MaRDI QIDQ6567896
Changyu Liu, Unnamed Author, Xingqiu Zhao
Publication date: 5 July 2024
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Cites Work
- Unnamed Item
- On asymptotically optimal confidence regions and tests for high-dimensional models
- Testing against a high-dimensional alternative in the generalized linear model: asymptotic type I error control
- On the conditional distributions of low-dimensional projections from high-dimensional data
- A general theory of hypothesis tests and confidence regions for sparse high dimensional models
- On almost linearity of low dimensional projections from high dimensional data
- Test for high-dimensional regression coefficients using refitted cross-validation variance estimation
- Regression analysis under link violation
- Asymptotics of graphical projection pursuit
- On conditional moments of high-dimensional random vectors given lower-dimensional projections
- L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs
- Asymptotic Statistics
- Variance Estimation Using Refitted Cross-Validation in Ultrahigh Dimensional Regression
- Global and Simultaneous Hypothesis Testing for High-Dimensional Logistic Regression Models
- Tests for High-Dimensional Regression Coefficients With Factorial Designs
- Tests for High Dimensional Generalized Linear Models
- Confidence Intervals for Low Dimensional Parameters in High Dimensional Linear Models
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