Axt, Ieva; Fried, Roland - In: AStA Advances in Statistical Analysis 104 (2020) 3, pp. 417-457
In many situations, it is crucial to estimate the variance properly. Ordinary variance estimators perform poorly in the presence of shifts in the mean. We investigate an approach based on non-overlapping blocks, which yields good results in change-point scenarios. We show the strong consistency...