Pages that link to "Item:Q2443207"
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The following pages link to Minimax sparse principal subspace estimation in high dimensions (Q2443207):
Displaying 10 items.
- On the optimality of the Oja's algorithm for online PCA (Q6172918) (← links)
- PCA Sparsified (Q6176425) (← links)
- Long random matrices and tensor unfolding (Q6180391) (← links)
- Envelopes and principal component regression (Q6184884) (← links)
- A data-driven approach to conditional screening of high-dimensional variables (Q6539179) (← links)
- Soft label guided unsupervised discriminative sparse subspace feature selection (Q6546748) (← links)
- Adaptive Functional Thresholding for Sparse Covariance Function Estimation in High Dimensions (Q6567942) (← links)
- High-Dimensional Elliptical Sliced Inverse Regression in Non-Gaussian Distributions (Q6620940) (← links)
- Sparse and integrative principal component analysis for multiview data (Q6635573) (← links)
- Slicing-free inverse regression in high-dimensional sufficient dimension reduction (Q6671903) (← links)