Minimum Sample Size for Reliable Causal Inference Using Transfer Entropy
نویسندگان
چکیده
منابع مشابه
Minimum Sample Size for Reliable Causal Inference Using Transfer Entropy
Abstract: Transfer Entropy has been applied to experimental datasets to unveil causality between variables. In particular, its application to non-stationary systems has posed a great challenge due to restrictions on the sample size. Here, we have investigated the minimum sample size that produces a reliable causal inference. The methodology has been applied to two prototypical models: the linea...
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ژورنال
عنوان ژورنال: Entropy
سال: 2017
ISSN: 1099-4300
DOI: 10.3390/e19040150