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Threshold selection in jump-discriminant filter for discretely observed jump processes

机译:离散判别式跳跃过程的跳跃判别滤波器中的阈值选择

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摘要

Threshold estimation is one of the useful techniques in the inference for jump-type stochastic processes from discrete observations. In this method, a jump-discriminant filter is used to infer the continuous part and the jump part separately. Although there are several choices for the filter, statistics constructed via filters are often sensitive to the choice. This paper presents some numerical procedures for selecting a suitable filter based on observations.
机译:阈值估计是从离散观测值推断跳跃型随机过程的有用技术之一。在该方法中,使用跳跃鉴别滤波器来分别推断连续部分和跳跃部分。尽管过滤器有多种选择,但通过过滤器构造的统计信息通常对选择敏感。本文提出了一些基于观测值选择合适滤波器的数值程序。

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