Pages that link to "Item:Q1962230"
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The following pages link to Some robust estimates of principal components (Q1962230):
Displaying 42 items.
- On the eigenvalues of the spatial sign covariance matrix in more than two dimensions (Q273842) (← links)
- Robust \(\ell_1\) approaches to computing the geometric median and principal and independent components (Q294428) (← links)
- Robustifying principal component analysis with spatial sign vectors (Q434715) (← links)
- Robust functional principal components: a projection-pursuit approach (Q449971) (← links)
- Asymptotics of the two-stage spatial sign correlation (Q901278) (← links)
- Robust tests for the common principal components model (Q998988) (← links)
- Consistency of restricted maximum likelihood estimators of principal components (Q1018640) (← links)
- Independent component analysis based on symmetrised scatter matrices (Q1020181) (← links)
- Methods of \(L_ 1\) estimation of a covariance matrix (Q1091707) (← links)
- A class of statistical estimators related to principal components (Q1300821) (← links)
- The affine equivariant sign covariance matrix: Asymptotic behavior and efficiencies. (Q1426351) (← links)
- Covariance matrix estimation for left-censored data (Q1663141) (← links)
- Affine equivariant multivariate rank methods (Q1874097) (← links)
- Stability of robust and non-robust principal components analysis (Q1896105) (← links)
- Robust factor number specification for large-dimensional elliptical factor model (Q2008233) (← links)
- On weighted multivariate sign functions (Q2146460) (← links)
- The spatial sign covariance matrix with unknown location (Q2252888) (← links)
- Spatial sign correlation (Q2256748) (← links)
- Principle component analysis: robust versions (Q2399473) (← links)
- Large covariance estimation through elliptical factor models (Q2413594) (← links)
- A generalized spatial sign covariance matrix (Q2418507) (← links)
- Robust kernel principal component analysis and classification (Q2442780) (← links)
- Detecting influential observations in kernel PCA (Q2445754) (← links)
- Robust principal component analysis: a factorization-based approach with linear complexity (Q2660750) (← links)
- (Q3093191) (← links)
- Robust Principal Components (Q3471484) (← links)
- Tests and estimates of shape based on spatial signs and ranks (Q3611824) (← links)
- ECA: High-Dimensional Elliptical Component Analysis in Non-Gaussian Distributions (Q4690955) (← links)
- (Q4712952) (← links)
- Scale-Invariant Sparse PCA on High-Dimensional Meta-Elliptical Data (Q4975350) (← links)
- Robustness of the Affine Equivariant Scatter Estimator Based on the Spatial Rank Covariance Matrix (Q5259102) (← links)
- Robust principal component analysis based on trimming around affine subspaces (Q5278116) (← links)
- Influence Functions and Efficiencies of k-Step Hettmansperger–Randles Estimators for Multivariate Location and Regression (Q5280268) (← links)
- Sign and rank covariance matrices (Q5928952) (← links)
- Robust Q-mode principal component analysis in \(L_{1}\) (Q5941545) (← links)
- A class of robust principal component vectors. (Q5943754) (← links)
- Robust Functional Principal Component Analysis via a Functional Pairwise Spatial Sign Operator (Q6055876) (← links)
- Robustness of principal component analysis with Spearman's rank matrix (Q6537386) (← links)
- Generalized spherical principal component analysis (Q6547783) (← links)
- Robust signal dimension estimation via SURE (Q6581311) (← links)
- Large-Dimensional Factor Analysis Without Moment Constraints (Q6620853) (← links)
- High-Dimensional Elliptical Sliced Inverse Regression in Non-Gaussian Distributions (Q6620940) (← links)