Variable selection in regression with compositional covariates

Variable selection for sparse Dirichlet-multinomial regression with an application to microbiome data analysis

(2013) Jun Chen et al.   Annals of Applied Statistics

Structure-constrained sparse canonical correlation analysis with an application to microbiome data analysis

(2012) J. Chen et al.   BIOSTATISTICS

Tuning parameter selection in high dimensional penalized likelihood

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

The solution path of the generalized lasso

(2011) Ryan J. Tibshirani et al.   ANNALS OF STATISTICS

Linking Long-Term Dietary Patterns with Gut Microbial Enterotypes

(2011) G. D. Wu et al.   SCIENCE

Stability selection

(2010) Nicolai Meinshausen et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using $\ell _{1}$-Constrained Quadratic Programming (Lasso)

(2009) Martin J. Wainwright   IEEE TRANSACTIONS ON INFORMATION THEORY

Shrinkage Estimation of the Varying Coefficient Model

(2009) Hansheng Wang et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION