A large deviation result for maximum likelihood estimator of non-homogeneous Ornstein–Uhlenbeck processes
Shoujiang Zhao and
Qiaojing Liu
Statistics & Probability Letters, 2020, vol. 162, issue C
Abstract:
We establish the large deviation principle for maximum likelihood estimator of some diffusion process. We overcome the difficulty of non-steepness and obtain large deviations in the case of non-Gaussian limit distribution by local large deviation principle and exponential tightness.
Keywords: Large deviation principle; Maximum likelihood estimator; Ornstein–Uhlenbeck process; α-Brownian bridge (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:162:y:2020:i:c:s0167715220300560
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DOI: 10.1016/j.spl.2020.108753
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