Tuning-parameter selection in regularized estimations of large covariance matrices
From MaRDI portal
Publication:5222349
DOI10.1080/00949655.2015.1017823OpenAlexW2117443065MaRDI QIDQ5222349
Yang Feng, Yixin Fang, Binhuan Wang
Publication date: 1 April 2020
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1308.3416
Related Items (3)
Cross-Validated Loss-based Covariance Matrix Estimator Selection in High Dimensions ⋮ Estimating a covariance matrix for market risk management and the case of credit default swaps ⋮ A multiple testing approach to the regularisation of large sample correlation matrices
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- High dimensional covariance matrix estimation using a factor model
- Estimation of high-dimensional prior and posterior covariance matrices in Kalman filter vari\-ants
- Optimal rates of convergence for covariance matrix estimation
- Covariance regularization by thresholding
- Operator norm consistent estimation of large-dimensional sparse covariance matrices
- Sparsistency and rates of convergence in large covariance matrix estimation
- On the distribution of the largest eigenvalue in principal components analysis
- Smoothed functional principal components analysis by choice of norm
- SURE-tuned tapering estimation of large covariance matrices
- Regularized estimation of large covariance matrices
- A new approach to Cholesky-based covariance regularization in high dimensions
- SURE Information Criteria for Large Covariance Matrix Estimation and Their Asymptotic Properties
- Positive-Definite ℓ1-Penalized Estimation of Large Covariance Matrices
- Generalized Thresholding of Large Covariance Matrices
- Linear Model Selection by Cross-Validation
- Covariance matrix selection and estimation via penalised normal likelihood
- Large Covariance Estimation by Thresholding Principal Orthogonal Complements
- The Estimation of Prediction Error
This page was built for publication: Tuning-parameter selection in regularized estimations of large covariance matrices