Large deviations for the Yule–Walker estimator of near critical autoregressive processes

Pub Date : 2024-06-29 DOI:10.1016/j.spl.2024.110196
Xiaochang Wang , Shui Feng , Yiping Guo , Bruno N. Rémillard
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Abstract

The large deviation principle is established for the Yule–Walker estimator of the near critical order one autoregressive process. The rate function is identified explicitly. Our result shows that, at the exponential scale, one cannot distinguish between near critical and the critical Yule–Walker estimators.

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近临界自回归过程的 Yule-Walker 估计器的大偏差
建立了近临界一阶自回归过程的 Yule-Walker 估计器的大偏差原理。明确确定了速率函数。我们的结果表明,在指数尺度上,我们无法区分近临界和临界 Yule-Walker 估计器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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