The following pages link to OptShrink (Q45366):
Displaying 24 items.
- (Q49360) (redirect page) (← links)
- Asymptotic performance of PCA for high-dimensional heteroscedastic data (Q1661372) (← links)
- \(e\)PCA: high dimensional exponential family PCA (Q1728639) (← links)
- MIXANDMIX: numerical techniques for the computation of empirical spectral distributions of population mixtures (Q2007993) (← links)
- Spiked separable covariance matrices and principal components (Q2039807) (← links)
- Low-rank matrix denoising for count data using unbiased Kullback-Leibler risk estimation (Q2076123) (← links)
- Edge statistics of large dimensional deformed rectangular matrices (Q2079603) (← links)
- Heteroskedastic PCA: algorithm, optimality, and applications (Q2119219) (← links)
- Optimal prediction in the linearly transformed spiked model (Q2176630) (← links)
- Estimating latent asset-pricing factors (Q2190237) (← links)
- Testing in high-dimensional spiked models (Q2196218) (← links)
- Matrix completion for matrices with low-rank displacement (Q2203383) (← links)
- Permutation methods for factor analysis and PCA (Q2215761) (← links)
- Rapid evaluation of the spectral signal detection threshold and Stieltjes transform (Q2230693) (← links)
- High dimensional deformed rectangular matrices with applications in matrix denoising (Q2278666) (← links)
- Matrix estimation by universal singular value thresholding (Q2338924) (← links)
- Optimal singular value shrinkage for operator norm loss: extending to non-square matrices (Q2670774) (← links)
- Deterministic Parallel Analysis: An Improved Method for Selecting Factors and Principal Components (Q3120105) (← links)
- Efficient computation of limit spectra of sample covariance matrices (Q3459159) (← links)
- Generalized SURE for optimal shrinkage of singular values in low-rank matrix denoising (Q4637067) (← links)
- Adaptive singular value shrinkage estimate for low rank tensor denoising (Q5041692) (← links)
- Time Series Source Separation Using Dynamic Mode Decomposition (Q5114419) (← links)
- Matrix Denoising for Weighted Loss Functions and Heterogeneous Signals (Q5162624) (← links)
- Optimally Weighted PCA for High-Dimensional Heteroscedastic Data (Q5888296) (← links)
