Subsampling the mean of heavy-tailed dependent observations
We establish the validity of subsampling confidence intervals for the mean of a dependent series with heavy-tailed marginal distributions. Using point process theory, we focus on GARCH-like time series models. We propose a data-dependent method for the optimal block size selection and investigate its performance by means of a simulation study. Copyright 2004 Blackwell Publishing Ltd.