Parameter estimation for the non-stationary Ornstein–Uhlenbeck process with linear drift
Hui Jiang () and
Xing Dong ()
Statistical Papers, 2015, vol. 56, issue 1, 257-268
Abstract:
We study the asymptotic behaviors for estimators of the parameters in the non-stationary Ornstein–Uhlenbeck process with linear drift. The law of iterated logarithm and limiting distribution for the estimators are obtained. Copyright Springer-Verlag Berlin Heidelberg 2015
Keywords: Law of iterated logarithm; Maximum likelihood estimator; Non-stationary Ornstein–Uhlenbeck process; 62F12; 62N02; 60F15; 62M02 (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:stpapr:v:56:y:2015:i:1:p:257-268
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DOI: 10.1007/s00362-014-0580-z
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