Detecting causality from short time-series data based on prediction of topologically equivalent attractors
نویسندگان
چکیده
منابع مشابه
Detecting Causality from Nonlinear Dynamics with Short-term Time Series
Quantifying causality between variables from observed time series data is of great importance in various disciplines but also a challenging task, especially when the observed data are short. Unlike the conventional methods, we find it possible to detect causality only with very short time series data, based on embedding theory of an attractor for nonlinear dynamics. Specifically, we first show ...
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ژورنال
عنوان ژورنال: BMC Systems Biology
سال: 2017
ISSN: 1752-0509
DOI: 10.1186/s12918-017-0512-3