Pages that link to "Item:Q2237812"
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The following pages link to Shrinkage estimation of large covariance matrices: keep it simple, statistician? (Q2237812):
Displaying 13 items.
- Nonlinear shrinkage estimation of large-dimensional covariance matrices (Q149570) (← links)
- Linear shrinkage estimation of large covariance matrices using factor models (Q321913) (← links)
- Large dimensional analysis and optimization of robust shrinkage covariance matrix estimators (Q406518) (← links)
- On the strong convergence of the optimal linear shrinkage estimator for large dimensional covariance matrix (Q458655) (← links)
- Comparison of linear shrinkage estimators of a large covariance matrix in normal and non-normal distributions (Q1659485) (← links)
- Optimal estimation of a large-dimensional covariance matrix under Stein's loss (Q1750102) (← links)
- Shrinkage for covariance estimation: asymptotics, confidence intervals, bounds and applications in sensor monitoring and finance (Q1757253) (← links)
- Design-free estimation of integrated covariance matrices for high-frequency data (Q2078572) (← links)
- Spectrum estimation: a unified framework for covariance matrix estimation and PCA in large dimensions (Q2350071) (← links)
- Nonlinear shrinkage estimation of large integrated covariance matrices (Q5384486) (← links)
- Bridging factor and sparse models (Q6183755) (← links)
- Target selection in shrinkage estimation of covariance matrix: a structural similarity approach (Q6540901) (← links)
- Inference on the eigenvalues of the normalized precision matrix (Q6635248) (← links)