Pages that link to "Item:Q3224213"

The following pages link to A direct approach to sparse discriminant analysis in ultra-high dimensions (Q3224213):

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)
• Significance analysis of high-dimensional, low-sample size partially labeled data (Q286481) (← links)
• Sparse optimal discriminant clustering (Q294233) (← links)
• Discriminant analysis on high dimensional Gaussian copula model (Q310646) (← links)
• A convex optimization approach to high-dimensional sparse quadratic discriminant analysis (Q820816) (← links)
• An adapted linear discriminant analysis with variable selection for the classification in high-dimension, and an application to medical data (Q830539) (← links)
• Optimal variable selection in multi-group sparse discriminant analysis (Q887251) (← links)
• A selective overview of feature screening for ultrahigh-dimensional data (Q892795) (← links)
• General sparse multi-class linear discriminant analysis (Q1659183) (← links)
• Approximate nonparametric maximum likelihood for mixture models: a convex optimization approach to fitting arbitrary multivariate mixing distributions (Q1662317) (← links)
• Sparse HDLSS discrimination with constrained data piling (Q1663205) (← links)
• Generalized quadratic discriminant analysis (Q1669596) (← links)
• Simultaneous variable selection and class fusion with penalized distance criterion based classifiers (Q1727900) (← links)
• Gaussian and bootstrap approximations for high-dimensional U-statistics and their applications (Q1750282) (← 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)
• A method for selecting the relevant dimensions for high-dimensional classification in singular vector spaces (Q1999449) (← links)
• Ridge-forward quadratic discriminant analysis in high-dimensional situations (Q2014431) (← links)
• Varying coefficient linear discriminant analysis for dynamic data (Q2084480) (← links)
• On the strong oracle property of concave penalized estimators with infinite penalty derivative at the origin (Q2131914) (← links)
• A general framework for tensor screening through smoothing (Q2136613) (← links)
• The robust nearest shrunken centroids classifier for high-dimensional heavy-tailed data (Q2154953) (← links)
• How can we identify the sparsity structure pattern of high-dimensional data: an elementary statistical analysis to interpretable machine learning (Q2170515) (← 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)
• Sparse semiparametric discriminant analysis (Q2256757) (← links)
• Prediction and estimation consistency of sparse multi-class penalized optimal scoring (Q2278663) (← links)
• Efficient computation for differential network analysis with applications to quadratic discriminant analysis (Q2291319) (← links)
• A consistent variable selection method in high-dimensional canonical discriminant analysis (Q2293390) (← links)
• Conditional probability estimation based classification with class label missing at random (Q2293539) (← links)
• Dynamic linear discriminant analysis in high dimensional space (Q2295032) (← links)
• Bayesian discriminant analysis using a high dimensional predictor (Q2316972) (← links)
• Innovated interaction screening for high-dimensional nonlinear classification (Q2352740) (← links)
• Graph-based sparse linear discriminant analysis for high-dimensional classification (Q2418517) (← links)
• Stability of feature selection in classification issues for high-dimensional correlated data (Q2628882) (← links)
• Unobserved classes and extra variables in high-dimensional discriminant analysis (Q2673359) (← links)
• A Direct Estimation Approach to Sparse Linear Discriminant Analysis (Q3225818) (← links)
• (Q4558173) (← links)
• Sparse subspace linear discriminant analysis (Q4579984) (← links)
• Multiclass Sparse Discriminant Analysis (Q4626680) (← links)
• Neyman-Pearson classification: parametrics and sample size requirement (Q4969044) (← links)
• (Q4969067) (← links)
• SURE estimates for high dimensional classification (Q4970345) (← links)
• Weighted linear programming discriminant analysis for high‐dimensional binary classification (Q4970346) (← links)
• Variable Selection in Nonparametric Classification Via Measurement Error Model Selection Likelihoods (Q4975400) (← links)
• Variable selection of linear programming discriminant estimator (Q4976213) (← links)