Consistency, Sparsistency and Presistency

There are many ways to discuss the quality of estimators in statistics. Today I want to review three common notions: presistency, consistency and sparsistency. I will discuss them in the context of linear regression. (Yes, that’s presistency, not persistency.) Suppose the data are where , and . Let be an estimator of . Probably the […]