INVARIANCE PRINCIPLES UNDER THE MAXWELL-WOODROOFE CONDITION IN BANACH SPACES
成果类型:
Article
署名作者:
Cuny, Christophe
署名单位:
Universite Paris Saclay
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/16-AOP1095
发表日期:
2017
页码:
1578-1611
关键词:
CENTRAL LIMIT-THEOREMS
pointwise ergodic-theorems
iterated logarithm
martingale approximations
Wasserstein Distance
additive-functionals
mixing sequences
stationary
INEQUALITY
sums
摘要:
We prove that, for (adapted) stationary processes, the so-called Maxwell-Woodroofe condition is sufficient for the law of the iterated logarithm and that it is optimal in some sense. That result actually holds in the context of Banach valued stationary processes, including the case of L-P-valued random variables, with 1 <= p < infinity. In this setting, we also prove the weak invariance principle, hence generalizing a result of Peligrad and Utev [Ann. Probab. 33 (2005) 798-815]. The proofs make use of a new maximal inequality and of approximation by martingales, for which some of our results are also new.
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