Law of the iterated logarithm for error density estimators in nonlinear autoregressive models
Tianze Liu and
Yong Zhang
Communications in Statistics - Theory and Methods, 2020, vol. 49, issue 5, 1082-1098
Abstract:
In this paper, we consider the law of the iterated logarithm for error density estimators in the nonlinear autoregressive models under appropriate assumptions. Moreover we get the law of the iterated logarithm for error density estimators in first-order autoregressive models and threshold models as corollaries.
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:49:y:2020:i:5:p:1082-1098
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DOI: 10.1080/03610926.2018.1554129
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