Multiple Response Regression for Gaussian Mixture Models with Known Labels

Statistical Analysis and Data Mining

Wei Sun¹  Wonyul Lee²  Yufeng Liu³  David Neil Hayes⁴  Ying Du⁴ 

[1] Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA;Department of Statistics and Operations Research, Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA;Department of Statistics and Operations Research, Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USALineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA;Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA

关键词: covariance estimation;    GLASSO;    hierarchical penalty;    LASSO;    multiple response;    regression;    sparsity;   

DOI  :  10.1002/sam.11158

学科分类：社会科学、人文和艺术（综合）

来源: John Wiley & Sons, Inc.

【 授权许可】

Unknown