Pages that link to "Item:Q5755032"

The following pages link to Principal Components Analysis Based on Multivariate MM Estimators With Fast and Robust Bootstrap (Q5755032):

Displaying 47 items.

• Robust tools for the imperfect world (Q92459) (← links)
• Estimates of MM type for the multivariate linear model (Q549921) (← links)
• Optimal rank-based testing for principal components (Q620547) (← links)
• Characterization of the equivalence of robustification and regularization in linear and matrix regression (Q723995) (← links)
• A canonical definition of shape (Q730743) (← links)
• Robust subsampling (Q738145) (← links)
• The minimum weighted covariance determinant estimator (Q745468) (← links)
• Multivariate coefficients of variation: comparison and influence functions (Q893177) (← links)
• High-breakdown robust multivariate methods (Q900488) (← links)
• Optimal rank-based tests for homogeneity of scatter (Q930654) (← links)
• Breakdown concepts for contingency tables (Q964811) (← links)
• Optimal tests for homogeneity of covariance, scale, and shape (Q1000571) (← links)
• Multivariate generalized S-estimators (Q1006669) (← links)
• Fast and robust bootstrap (Q1019492) (← links)
• Robust learning from bites for data mining (Q1020821) (← links)
• Asymptotic distributions of robust shape matrices and scales (Q1021832) (← links)
• Robust model selection using fast and robust bootstrap (Q1023882) (← links)
• The DetS and DetMM estimators for multivariate location and scatter (Q1623726) (← links)
• Robust tests for linear regression models based on \(\tau\)-estimates (Q1660233) (← links)
• Robust inference for seemingly unrelated regression models (Q1661346) (← links)
• A plug-in approach to sparse and robust principal component analysis (Q1694017) (← links)
• Fast computation of robust subspace estimators (Q1727931) (← links)
• Robust sieve M-estimation with an application to dimensionality reduction (Q2161188) (← links)
• Testing for principal component directions under weak identifiability (Q2176623) (← links)
• Sign tests for weak principal directions (Q2203629) (← links)
• Weighted likelihood estimation of multivariate location and scatter (Q2273177) (← links)
• Independent Component Analysis for the objective classification of globular clusters of the galaxy NGC 5128 (Q2359453) (← links)
• Shape bias of robust covariance estimators: an empirical study (Q2442689) (← links)
• Inference for robust canonical variate analysis (Q2442782) (← links)
• Fast robust estimation of prediction error based on resampling (Q2445765) (← links)
• Robust estimation of Cronbach's alpha (Q2499084) (← links)
• On consistency factors and efficiency of robust \(S\)-estimators (Q2513931) (← links)
• Classical and robust orthogonal regression between parts of compositional data (Q2953972) (← links)
• Robust estimation and inference for bivariate line-fitting in allometry (Q3013949) (← links)
• Robust Principal Component Analysis Based on Pairwise Correlation Estimators (Q3298518) (← links)
• Robust Estimation of Multivariate Location and Scatter in the Presence of Missing Data (Q4648564) (← links)
• (Q5033292) (← links)
• Common multivariate estimators of location and scatter capture the symmetry of the underlying distribution (Q5082749) (← links)
• Comments on: ``Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination'' (Q5965753) (← links)
• Discussion of: ``The power of monitoring: how to make the most of a contaminated multivariate sample'' (Q5971027) (← links)
• Robust approaches to redundancy analysis (Q6060901) (← links)
• A higher-order correct fast moving-average bootstrap for dependent data (Q6163269) (← links)
• On testing the equality of latent roots of scatter matrices under ellipticity (Q6183686) (← links)
• S-estimation in linear models with structured covariance matrices (Q6183870) (← links)
• A review of Tyler's shape matrix and its extensions (Q6606394) (← links)
• On the asymptotic behavior of the leading eigenvector of Tyler's shape estimator under weak identifiability (Q6606395) (← links)
• Recent advances in scaling-down sampling methods in machine learning (Q6607064) (← links)