Pages that link to "Item:Q1763097"

The following pages link to Some theory for Fisher's linear discriminant function, `naive Bayes', and some alternatives when there are many more variables than observations (Q1763097):

Displaying 50 items.

• Generalized alternating direction method of multipliers: new theoretical insights and applications (Q2516351) (← links)
• Stability of feature selection in classification issues for high-dimensional correlated data (Q2628882) (← links)
• Moments and root-mean-square error of the Bayesian MMSE estimator of classification error in the Gaussian model (Q2629860) (← links)
• Classification accuracy as a proxy for two-sample testing (Q2656602) (← links)
• Overlap in observational studies with high-dimensional covariates (Q2658764) (← links)
• Tests for a Multiple-Sample Problem in High Dimensions (Q2815361) (← links)
• Tests for mean vectors in high dimension (Q2870766) (← links)
• Tilting methods for assessing the influence of components in a classifier (Q2920282) (← links)
• Resolution of Degeneracy in Merton's Portfolio Problem (Q2953941) (← links)
• Higher criticism thresholding: Optimal feature selection when useful features are rare and weak (Q2962167) (← links)
• Penalized Independence Rule for Testing High-Dimensional Hypotheses (Q3017854) (← links)
• Fast rate of convergence in high-dimensional linear discriminant analysis (Q3021183) (← links)
• Pairwise Variable Selection for High-Dimensional Model-Based Clustering (Q3064269) (← links)
• Bias-Corrected Diagonal Discriminant Rules for High-Dimensional Classification (Q3076039) (← links)
• Banded Regularization of Autocovariance Matrices in Application to Parameter Estimation and Forecasting of Time Series (Q3107199) (← links)
• Penalized Classification using Fisher’s Linear Discriminant (Q3107201) (← links)
• A DC Programming Approach for Sparse Linear Discriminant Analysis (Q3192955) (← links)
• Simultaneous variable selection and class fusion for high-dimensional linear discriminant analysis (Q3303621) (← links)
• Diagonal Discriminant Analysis With Feature Selection for High-Dimensional Data (Q3391457) (← links)
• Variable Selection for Model-Based High-Dimensional Clustering and Its Application to Microarray Data (Q3506488) (← links)
• Feature selection by higher criticism thresholding achieves the optimal phase diagram (Q3559955) (← links)
• (Q4558173) (← links)
• Statistical inference for high-dimension, low-sample-size data (Q4568290) (← links)
• Sparse subspace linear discriminant analysis (Q4579984) (← links)
• Facilitating high‐dimensional transparent classification via empirical Bayes variable selection (Q4627116) (← links)
• Learning from a lot: Empirical Bayes for high‐dimensional model‐based prediction (Q4629271) (← links)
• Sure Independence Screening for Ultrahigh Dimensional Feature Space (Q4632602) (← links)
• Dimension Estimation Using Random Connection Models (Q4637068) (← links)
• On the limits of clustering in high dimensions via cost functions (Q4969748) (← links)
• Sparse linear discriminant analysis in structured covariates space (Q4970230) (← links)
• SURE estimates for high dimensional classification (Q4970345) (← links)
• Weighted linear programming discriminant analysis for high‐dimensional binary classification (Q4970346) (← links)
• Correlated Component Regression: Re-thinking Regression in the Presence of Near Collinearity (Q4973039) (← links)
• Variable Selection in Nonparametric Classification Via Measurement Error Model Selection Likelihoods (Q4975400) (← links)
• (Q4998936) (← links)
• (Q4999025) (← 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)
• A Cholesky-based estimation for large-dimensional covariance matrices (Q5037036) (← links)
• A resample-replace lasso procedure for combining high-dimensional markers with limit of detection (Q5056946) (← links)
• Variance ratio screening for ultrahigh dimensional discriminant analysis (Q5075472) (← links)
• A classifier under the strongly spiked eigenvalue model in high-dimension, low-sample-size context (Q5077372) (← links)
• Robust support vector machine for high-dimensional imbalanced data (Q5082626) (← links)
• Fast Bayesian variable screenings for binary response regressions with small sample size (Q5106969) (← links)
• An improved modified cholesky decomposition approach for precision matrix estimation (Q5107717) (← links)
• Kernel naive Bayes discrimination for high‐dimensional pattern recognition (Q5117650) (← links)
• Discriminant analysis in small and large dimensions (Q5117960) (← links)
• The Dantzig Discriminant Analysis with High Dimensional Data (Q5177600) (← links)
• Classification Error of the Thresholded Independence Rule (Q5177949) (← links)