An adapted linear discriminant analysis with variable selection for the classification in high-dimension, and an application to medical data

An efficient ADMM algorithm for high dimensional precision matrix estimation via penalized quadratic loss

(2019) Cheng Wang et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Regularized Linear Discriminant Analysis of EEG Features in Dementia Patients

(2016) Emanuel Neto et al.   Frontiers in Aging Neuroscience

Metabolic Connectivity as Index of Verbal Working Memory

(2015) Na Zou et al.   JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM

A Direct Estimation Approach to Sparse Linear Discriminant Analysis

(2012) Tony Cai et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

A road to classification in high dimensional space: the regularized optimal affine discriminant

(2012) Jianqing Fan et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

The graphical lasso: New insights and alternatives

(2012) Rahul Mazumder et al.   Electronic Journal of Statistics

New Insights and Faster Computations for the Graphical Lasso

(2011) Daniela M. Witten et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Sparse Discriminant Analysis

(2011) Line Clemmensen et al.   TECHNOMETRICS

Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation

(2010) Shuai Huang et al.   NEUROIMAGE

Covariance-regularized regression and classification for high dimensional problems

(2009) Daniela M. Witten et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Automatic classification of MR scans in Alzheimer's disease

(2008) S. Kloppel et al.   BRAIN

Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline

(2007) Yong Fan et al.   NEUROIMAGE