Pages that link to "Item:Q548558"

The following pages link to Sparse linear discriminant analysis by thresholding for high dimensional data (Q548558):

Displaying 33 items.

• (Q4558173) (← links)
• Sparse subspace linear discriminant analysis (Q4579984) (← links)
• Neyman-Pearson classification: parametrics and sample size requirement (Q4969044) (← links)
• (Q4969179) (← links)
• Sparse linear discriminant analysis in structured covariates space (Q4970230) (← links)
• Variable Selection in Nonparametric Classification Via Measurement Error Model Selection Likelihoods (Q4975400) (← links)
• Variable selection of linear programming discriminant estimator (Q4976213) (← links)
• (Q4998936) (← links)
• The sparse group lasso for high-dimensional integrative linear discriminant analysis with application to alzheimer's disease prediction (Q5033470) (← links)
• Variance ratio screening for ultrahigh dimensional discriminant analysis (Q5075472) (← links)
• An improved modified cholesky decomposition approach for precision matrix estimation (Q5107717) (← links)
• Discriminant analysis in small and large dimensions (Q5117960) (← links)
• The Dantzig Discriminant Analysis with High Dimensional Data (Q5177600) (← links)
• Weak signals in high‐dimensional regression: Detection, estimation and prediction (Q5213967) (← links)
• Robust Variable and Interaction Selection for Logistic Regression and General Index Models (Q5229910) (← links)
• Sparse Minimum Discrepancy Approach to Sufficient Dimension Reduction with Simultaneous Variable Selection in Ultrahigh Dimension (Q5242475) (← links)
• High dimensional binary classification under label shift: phase transition and regularization (Q6062484) (← links)
• An Efficient Convex Formulation for Reduced-Rank Linear Discriminant Analysis in High Dimensions (Q6069866) (← links)
• An Efficient Greedy Search Algorithm for High-Dimensional Linear Discriminant Analysis (Q6069872) (← links)
• Bayesian decision rules to classification problems (Q6075114) (← links)
• Classification by likelihood accordance functions (Q6082979) (← links)
• A portmanteau local feature discrimination approach to the classification with high-dimensional matrix-variate data (Q6133725) (← links)
• Optimal discriminant analysis in high-dimensional latent factor models (Q6136589) (← links)
• A high-dimensional classification rule using sample covariance matrix equipped with adjusted estimated eigenvalues (Q6541769) (← links)
• Classification in high dimension with an Alternative Feature Augmentation via Nonparametrics and Selection (AFANS) (Q6544964) (← links)
• A review of discriminant analysis in high dimensions (Q6562693) (← links)
• Optimal Linear Discriminant Analysis for High-Dimensional Functional Data (Q6567901) (← links)
• Statistical inference under the strongly spiked eigenvalue model (Q6601514) (← links)
• Least angle regression for model selection (Q6604388) (← links)
• A survey on Neyman-Pearson classification and suggestions for future research (Q6604482) (← links)
• A locally adaptive shrinkage approach to false selection rate control in high-dimensional classification (Q6621322) (← links)
• Matrix Linear Discriminant Analysis (Q6636541) (← links)
• Linear discriminant analysis with sparse and dense signals (Q6671920) (← links)