CLT for high-dimensional \(R^2\) statistics under a general independent components model
From MaRDI portal
Publication:6621336
DOI10.5705/ss.202022.0068MaRDI QIDQ6621336
Publication date: 18 October 2024
Published in: STATISTICA SINICA (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Spectral analysis of large dimensional random matrices
- Null distribution of multiple correlation coefficient under mixture normal model
- CLT for linear spectral statistics of large-dimensional sample covariance matrices.
- Inference on multiple correlation coefficients with moderately high dimensional data
- Asymptotic Expansion and Conditional Robustness for the Sample Multiple Correlation Coefficient Under Nonnormality
- A simple derivation of the distribution of the multiple correlation coefficient
- On the Sampling Distribution of the Multiple Correlation Coefficient
- Series Representation of Non Null Distribution of the Square of Sample Multiple Correlation Coefficient by Use of the Mellin Integral Transform
- DISTRIBUTION OF EIGENVALUES FOR SOME SETS OF RANDOM MATRICES
- The general sampling distribution of the multiple correlation coefficient.
- Moderate-Dimensional Inferences on Quadratic Functionals in Ordinary Least Squares
This page was built for publication: CLT for high-dimensional \(R^2\) statistics under a general independent components model