Pages that link to "Item:Q958795"

The following pages link to Regularization through variable selection and conditional MLE with application to classification in high dimensions (Q958795):

Displaying 16 items.

• Estimating and testing conditional sums of means in high dimensional multivariate binary data (Q607228) (← links)
• Joint adaptive mean-variance regularization and variance stabilization of high dimensional data (Q693237) (← links)
• Classifier design given an uncertainty class of feature distributions via regularized maximum likelihood and the incorporation of biological pathway knowledge in steady-state phenotype classification (Q888574) (← links)
• Stein's method in high dimensional classification and applications (Q1623745) (← links)
• Regularized classification for mixed continuous and categorical variables under across-location heteroscedasticity (Q1776875) (← links)
• Condition estimation for regression and feature selection (Q1989165) (← links)
• Two-group classification with high-dimensional correlated data: a factor model approach (Q2275650) (← links)
• Selective inference via marginal screening for high dimensional classification (Q2303502) (← links)
• A guided random walk through some high dimensional problems (Q2431011) (← links)
• False Discovery Rate Based on Extreme Values in High Dimension (Q2833045) (← links)
• Adaptive learning machines for nonlinear classification and Bayesian information criteria (Q2844191) (← links)
• Covariance-regularized regression and classification for high dimensional problems (Q2920259) (← links)
• SURE estimates for high dimensional classification (Q4970345) (← links)
• High dimensional binary classification under label shift: phase transition and regularization (Q6062484) (← links)
• High-Dimensional Multi-Task Learning using Multivariate Regression and Generalized Fiducial Inference (Q6093503) (← links)
• A high-dimensional classification rule using sample covariance matrix equipped with adjusted estimated eigenvalues (Q6541769) (← links)