Bootstrap Central Limit Theorem for Chains of Infinite Order via Markov Approximations
P. Collet, D. Duarte, A. Galves
2005, v.11, Issue 3, 443-464
ABSTRACT
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
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