Graphical modelling of multivariate time series
نویسندگان
چکیده
منابع مشابه
Graphical Modelling of Multivariate Time Series
We introduce graphical time series models for the analysis of dynamic relationships among variables in multivariate time series. The modelling approach is based on the notion of strong Granger causality and can be applied to time series with non-linear dependencies. The models are derived from ordinary time series models by imposing constraints that are encoded by mixed graphs. In these graphs,...
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Graphical models for multivariate time series is a concept extended by Dahlhaus (2000) from a random vector to a time series. We propose a test statistic to identify a graphical model for multivariate time series with the Kullback-Leibler distance between two spectral density matrices characterized by graphical models. Asymptotic null distribution is derived to be normal with the mean and varia...
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متن کاملModelling of Multivariate Time Series
We introduce graphical time series models for the analysis of dynamic relationships among variables in multivariate time series. The modelling approach is based on the notion of strong Granger causality and can be applied to time series with non-linear dependencies. The models are derived from ordinary time series models by imposing constraints that are encoded by mixed graphs. In these graphs ...
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ژورنال
عنوان ژورنال: Probability Theory and Related Fields
سال: 2011
ISSN: 0178-8051,1432-2064
DOI: 10.1007/s00440-011-0345-8