A New Mixing Notion and Functional Central Limit Theorems for a Sieve Bootstrap in Time Series

Abstract
We study a bootstrap method for stationary real-valued time series, which is based on the sieve of autoregressive processes. Given a sample X1,... ,Xn from a li...

This publication has 0 references indexed in Scilit: