Pages that link to "Item:Q3225818"

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

Displaying 46 items.

• Integrative analysis of transcriptomic and metabolomic data via sparse canonical correlation analysis with incorporation of biological information (Q3119840) (← links)
• (Q4558173) (← links)
• Sparse subspace linear discriminant analysis (Q4579984) (← links)
• Sparse Orthogonal Linear Discriminant Analysis (Q4903725) (← links)
• Neyman-Pearson classification: parametrics and sample size requirement (Q4969044) (← links)
• Sparse linear discriminant analysis in structured covariates space (Q4970230) (← 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)
• A Sparse Learning Approach to Relative-Volatility-Managed Portfolio Selection (Q4988547) (← links)
• (Q4999109) (← links)
• (Q5011468) (← links)
• The sparse group lasso for high-dimensional integrative linear discriminant analysis with application to alzheimer's disease prediction (Q5033470) (← links)
• Sparse discriminant analysis based on estimation of posterior probabilities (Q5036916) (← links)
• Variance ratio screening for ultrahigh dimensional discriminant analysis (Q5075472) (← links)
• Communication-Efficient Distributed Linear Discriminant Analysis for Binary Classification (Q5089448) (← links)
• (Q5089457) (← links)
• Discriminant analysis in small and large dimensions (Q5117960) (← links)
• The Dantzig Discriminant Analysis with High Dimensional Data (Q5177600) (← links)
• Robust Variable and Interaction Selection for Logistic Regression and General Index Models (Q5229910) (← links)
• Correlation structure selection for longitudinal data with diverging cluster size (Q5507362) (← links)
• Estimating structured high-dimensional covariance and precision matrices: optimal rates and adaptive estimation (Q5965313) (← links)
• Sparse quadratic classification rules via linear dimension reduction (Q6032761) (← 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)
• Covariance structure estimation with Laplace approximation (Q6074739) (← links)
• A weak‐signal‐assisted procedure for variable selection and statistical inference with an informative subsample (Q6076512) (← links)
• Sparse linear discriminant analysis for multiview structured data (Q6079479) (← links)
• A Normality Test for High-dimensional Data Based on the Nearest Neighbor Approach (Q6107242) (← links)
• A Doubly Enhanced EM Algorithm for Model-Based Tensor Clustering (Q6110724) (← links)
• Optimal discriminant analysis in high-dimensional latent factor models (Q6136589) (← links)
• Sparse overlapped linear discriminant analysis (Q6169921) (← links)
• A LINEAR-PROGRAMMING PORTFOLIO OPTIMIZER TO MEAN–VARIANCE OPTIMIZATION (Q6182050) (← links)
• Multiclass sparse discriminant analysis incorporating graphical structure among predictors (Q6187806) (← links)
• Asset splitting algorithm for ultrahigh dimensional portfolio selection and its theoretical property (Q6190962) (← links)
• Classification in high dimension with an Alternative Feature Augmentation via Nonparametrics and Selection (AFANS) (Q6544964) (← links)
• Model-Based Tensor Low-Rank Clustering (Q6552543) (← links)
• A review of discriminant analysis in high dimensions (Q6562693) (← links)
• Optimal Linear Discriminant Analysis for High-Dimensional Functional Data (Q6567901) (← links)
• Cardinality minimization, constraints, and regularization: a survey (Q6585278) (← links)
• Tuning-free sparse clustering via alternating hard-thresholding (Q6596173) (← links)
• A survey on Neyman-Pearson classification and suggestions for future research (Q6604482) (← links)
• High-dimensional integrative copula discriminant analysis for multiomics data (Q6617435) (← links)
• A locally adaptive shrinkage approach to false selection rate control in high-dimensional classification (Q6621322) (← links)
• Linear discriminant analysis with sparse and dense signals (Q6671920) (← links)