Pages that link to "Item:Q3225818"

The following pages link to A Direct Estimation Approach to Sparse Linear Discriminant Analysis (Q3225818):

Displaying 50 items.

• Proximal Methods for Sparse Optimal Scoring and Discriminant Analysis (Q97534) (← links)
• Alternating direction method of multipliers for penalized zero-variance discriminant analysis (Q97537) (← links)
• Covariate-Adjusted Tensor Classification in High-Dimensions (Q131930) (← links)
• High dimensional discrimination analysis via a semiparametric model (Q273705) (← links)
• On estimation of the diagonal elements of a sparse precision matrix (Q302437) (← links)
• Discriminant analysis on high dimensional Gaussian copula model (Q310646) (← links)
• Recipes for sparse LDA of horizontal data (Q339883) (← links)
• PCA consistency for the power spiked model in high-dimensional settings (Q391897) (← links)
• A convex optimization approach to high-dimensional sparse quadratic discriminant analysis (Q820816) (← links)
• A self-calibrated direct approach to precision matrix estimation and linear discriminant analysis in high dimensions (Q829737) (← links)
• An adapted linear discriminant analysis with variable selection for the classification in high-dimension, and an application to medical data (Q830539) (← links)
• A linear programming model for selection of sparse high-dimensional multiperiod portfolios (Q1622825) (← links)
• A unified theory of confidence regions and testing for high-dimensional estimating equations (Q1630400) (← links)
• A primal-dual homotopy algorithm for \(\ell _{1}\)-minimization with \(\ell _{\infty }\)-constraints (Q1639715) (← links)
• High dimensional efficiency with applications to change point tests (Q1642675) (← links)
• Recent developments in high dimensional covariance estimation and its related issues, a review (Q1657856) (← links)
• General sparse multi-class linear discriminant analysis (Q1659183) (← links)
• High dimensional classifiers in the imbalanced case (Q1659246) (← links)
• A \(U\)-classifier for high-dimensional data under non-normality (Q1661350) (← links)
• Continuum directions for supervised dimension reduction (Q1662921) (← links)
• Sparse HDLSS discrimination with constrained data piling (Q1663205) (← links)
• Regularized generalized eigen-decomposition with applications to sparse supervised feature extraction and sparse discriminant analysis (Q1669702) (← links)
• Testing and support recovery of multiple high-dimensional covariance matrices with false discovery rate control (Q1694484) (← links)
• Simultaneous variable selection and class fusion with penalized distance criterion based classifiers (Q1727900) (← links)
• High-dimensional robust precision matrix estimation: cellwise corruption under \(\epsilon \)-contamination (Q1753147) (← links)
• On the dimension effect of regularized linear discriminant analysis (Q1786573) (← links)
• Optimal feature selection for sparse linear discriminant analysis and its applications in gene expression data (Q1800123) (← links)
• Distance-based classifier by data transformation for high-dimension, strongly spiked eigenvalue models (Q2000734) (← links)
• Ridge-forward quadratic discriminant analysis in high-dimensional situations (Q2014431) (← links)
• Complexity and applications of the homotopy principle for uniformly constrained sparse minimization (Q2019907) (← links)
• High-dimensional linear discriminant analysis using nonparametric methods (Q2062785) (← links)
• Varying coefficient linear discriminant analysis for dynamic data (Q2084480) (← links)
• A general framework for tensor screening through smoothing (Q2136613) (← links)
• Adaptive threshold-based classification of sparse high-dimensional data (Q2136667) (← links)
• A generative approach to modeling data with quantitative and qualitative responses (Q2140852) (← links)
• The robust nearest shrunken centroids classifier for high-dimensional heavy-tailed data (Q2154953) (← links)
• Variational discriminant analysis with variable selection (Q2195837) (← links)
• A procedure of linear discrimination analysis with detected sparsity structure for high-dimensional multi-class classification (Q2196123) (← links)
• High dimensional classification for spatially dependent data with application to neuroimaging (Q2209817) (← links)
• High-dimensional mean estimation via \(\ell_1\) penalized normal likelihood (Q2252887) (← links)
• Sparse semiparametric discriminant analysis (Q2256757) (← links)
• Prediction and estimation consistency of sparse multi-class penalized optimal scoring (Q2278663) (← links)
• Dynamic linear discriminant analysis in high dimensional space (Q2295032) (← links)
• Innovated interaction screening for high-dimensional nonlinear classification (Q2352740) (← links)
• Graph-based sparse linear discriminant analysis for high-dimensional classification (Q2418517) (← links)
• Optimal classification in sparse Gaussian graphic model (Q2438761) (← links)
• Random matrix theory in statistics: a review (Q2453609) (← links)
• QUADRO: a supervised dimension reduction method via Rayleigh quotient optimization (Q2515488) (← links)
• Generalized alternating direction method of multipliers: new theoretical insights and applications (Q2516351) (← links)
• Resolution of Degeneracy in Merton's Portfolio Problem (Q2953941) (← links)