Bootstrap Central Limit Theorem for Chains of Infinite Order via Markov Approximations
2005, v.11, №3, 443-464
We present a new approach to the bootstrap for chains of infinite order taking values on a finite alphabet. It is based on a sequential Bootstrap Central Limit Theorem for the sequence of canonical Markov approximations of the chain of infinite order. Combined with previous results on the rate of approximation this leads to a Central Limit Theorem for the bootstrapped estimator of the sample mean which is the main result of this paper.
Keywords: bootstrap,chains of infinite order,canonical Markovapproximations,central limit theorem