Wang, Lan; Wu, Yichao; Li, Runze - In: Journal of the American Statistical Association 107 (2012) 497, pp. 214-222
Ultra-high dimensional data often display heterogeneity due to either heteroscedastic variance or other forms of non-location-scale covariate effects. To accommodate heterogeneity, we advocate a more general interpretation of sparsity, which assumes that only a small number of covariates...