Resum:
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 study both linear and nonlinear 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.