Pages that link to "Item:Q5743145"

The following pages link to A Road to Classification in High Dimensional Space: The Regularized Optimal Affine Discriminant (Q5743145):

Displaying 50 items.

• Covariate-Adjusted Tensor Classification in High-Dimensions (Q131930) (← links)
• High dimensional discrimination analysis via a semiparametric model (Q273705) (← links)
• On two simple and effective procedures for high dimensional classification of general populations (Q284189) (← links)
• Discriminant analysis on high dimensional Gaussian copula model (Q310646) (← links)
• Simultaneous predictive Gaussian classifiers (Q318139) (← links)
• Recipes for sparse LDA of horizontal data (Q339883) (← links)
• PCA consistency for the power spiked model in high-dimensional settings (Q391897) (← links)
• Partition-based feature screening for categorical data via RKHS embeddings (Q830506) (← links)
• An adapted linear discriminant analysis with variable selection for the classification in high-dimension, and an application to medical data (Q830539) (← links)
• High dimensional classifiers in the imbalanced case (Q1659246) (← links)
• Continuum directions for supervised dimension reduction (Q1662921) (← links)
• An adaptive test for the mean vector in large-\(p\)-small-\(n\) problems (Q1663250) (← links)
• Generalized quadratic discriminant analysis (Q1669596) (← links)
• Simultaneous variable selection and class fusion with penalized distance criterion based classifiers (Q1727900) (← links)
• Optimization approaches to supervised classification (Q1753623) (← 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)
• Ridge-forward quadratic discriminant analysis in high-dimensional situations (Q2014431) (← links)
• High-dimensional linear discriminant analysis using nonparametric methods (Q2062785) (← links)
• A general framework for tensor screening through smoothing (Q2136613) (← links)
• New hard-thresholding rules based on data splitting in high-dimensional imbalanced classification (Q2136627) (← links)
• The robust nearest shrunken centroids classifier for high-dimensional heavy-tailed data (Q2154953) (← links)
• High dimensional classification for spatially dependent data with application to neuroimaging (Q2209817) (← links)
• Sparse semiparametric discriminant analysis (Q2256757) (← links)
• Regularized principal components of heritability (Q2259728) (← 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)
• Dynamic linear discriminant analysis in high dimensional space (Q2295032) (← links)
• Nonparametric screening under conditional strictly convex loss for ultrahigh dimensional sparse data (Q2313277) (← links)
• Graph-based sparse linear discriminant analysis for high-dimensional classification (Q2418517) (← links)
• Generalized alternating direction method of multipliers: new theoretical insights and applications (Q2516351) (← links)
• Bias-Corrected Diagonal Discriminant Rules for High-Dimensional Classification (Q3076039) (← links)
• (Q4558173) (← links)
• Neyman-Pearson classification: parametrics and sample size requirement (Q4969044) (← links)
• Weighted linear programming discriminant analysis for high‐dimensional binary classification (Q4970346) (← links)
• (Q4998936) (← links)
• The sparse group lasso for high-dimensional integrative linear discriminant analysis with application to alzheimer's disease prediction (Q5033470) (← links)
• Sparse Functional Principal Component Analysis in High Dimensions (Q5041340) (← links)
• An efficient approach for discriminant analysis based on adaptive feature augmentation (Q5055246) (← links)
• Classification of biomedical signals for differential diagnosis of Raynaud's phenomenon (Q5128684) (← links)
• A Simple Two-Sample Test in High Dimensions Based on <i>L</i>²-Norm (Q5130640) (← links)
• Simultaneous estimation of normal means with side information (Q5155201) (← links)
• On rank distribution classifiers for high-dimensional data (Q5861454) (← links)
• High dimensional binary classification under label shift: phase transition and regularization (Q6062484) (← links)
• An Efficient Greedy Search Algorithm for High-Dimensional Linear Discriminant Analysis (Q6069872) (← links)
• Functional data classification using the rotation forest method combined with the patch selection (Q6073588) (← links)
• Classification by likelihood accordance functions (Q6082979) (← links)
• A unified precision matrix estimation framework via sparse column-wise inverse operator under weak sparsity (Q6173730) (← links)
• Multiclass sparse discriminant analysis incorporating graphical structure among predictors (Q6187806) (← links)
• A high-dimensional classification rule using sample covariance matrix equipped with adjusted estimated eigenvalues (Q6541769) (← links)