Copula-Based Univariate Time Series Structural Shift Identification Test

H. Penikas
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引用次数: 1

Abstract

An approach is proposed to determine structural shift in time-series assuming non-linear dependence of lagged values of dependent variable. Copulas are used to model non-linear dependence of time series components.
基于copula的单变量时间序列结构位移识别检验
提出了一种假设因变量滞后值存在非线性关系的确定时间序列结构位移的方法。使用copula来模拟时间序列分量的非线性依赖关系。
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