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Causality results by Granger causality with signal-dependent noise analysis.

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Figshare2015-12-02 更新2026-04-29 收录
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The causal influence is from row to column. The causality is given for each direction, and the corresponding -value is presented in brackets. If the uncorrected -value is less than (surviving Bonferroni correction), the causal influence is identified as significant and indicated in bold in the table. (*: The active-set algorithm was used.)
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2015-12-02
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