sparsistency

Noun

 * 1)  Let $$ \mathbf{b} $$ be a vector and define the support $$ \operatorname{supp}(\mathbf{b}) = \{i : \mathbf{b}_i \neq 0\} $$ where $$\mathbf{b}_i $$ is the $$i$$th element of $$\mathbf{b} $$. Let $$ \hat{\mathbf{b}} $$ be an estimator for $$ \mathbf{b} $$. Then sparsistency is the property that the support of the estimator converges to the true support as the number of samples grows to infinity.