Sparse Estimators and the Oracle Property, or the Return of Hodges' Estimator

Sparse linear discriminant analysis by thresholding for high dimensional data

Sparse Matrix Inversion with Scaled Lasso

Sparse Non Gaussian Component Analysis by Semidefinite Programming

Sparse NonGaussian Component Analysis

Sparse permutation invariant covariance estimation

Sparse principal component analysis and iterative thresholding

Sparse Principal Components Analysis

Sparse recovery in convex hulls via entropy penalization

Sparse recovery under matrix uncertainty

Sparse recovery with unknown variance: a LASSO-type approach

Sparse single-index model

Sparsistency and rates of convergence in large covariance matrix estimation

Sparsity and Incoherence in Compressive Sampling

Sparsity considerations for dependent observations

Sparsity oracle inequalities for the Lasso

Spatial adaptation in heteroscedastic regression: Propagation approach

Spatial aggregation of local likelihood estimates with applications to classification

Spatial Clustering Tests Based on Domination Number of a New Random Digraph Family

Spatial extremes: Models for the stationary case