基于长距相关数据的时变参数估计

M. Tseng
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引用次数: 0

摘要

我们考虑具有时变参数和长期相关数据的时间序列回归。对时变参数的行为没有限制,允许平滑变化和突然中断。用非线性正交序列估计器估计时变参数,在大样本极限下具有极小的最大估计误差和无杂散跳变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of a Time-Varying Parameter from Long Range Dependent Data
We consider a time series regression with a time-varying parameter and long-range dependent data. No restriction is placed on the behavior of the time-varying parameter, allowing for both smooth changes and abrupt breaks.The time-varying parameter is estimated by a nonlinear orthogonal series estimator which is shown to have mini max estimation error and no spurious jumps in the large sample limit.
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