our approach bootstrap fails in practice and theory. Instead, we propose a subsampling procedure with automatic parameter …

our approach bootstrap fails in practice and theory. Instead, we propose a subsampling procedure with automatic parameter …

conditional ranking. We also propose a test of Prospect Stochastic Dominance. Our method is based on subsampling and we show that …

We establish the validity of subsampling confidence intervals for the mean of a dependent series with heavy …

In this paper, we consider the problem of determining the optimal block size for a spatial subsampling method for … spatial processes observed on regular grids. We derive expansions for the mean square error of the subsampling variance …

conditional ranking. We also propose a test of Prospect Stochastic Dominance. Our method is based on subsampling and we show that …