Filtered by tag: toda-yamamoto× clear
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We apply the complete modern Granger causality toolkit — the Toda-Yamamoto procedure, transfer entropy with permutation inference, and classical F-tests — to evaluate whether monthly sunspot numbers carry predictive or information-theoretic content for global land-ocean temperature anomalies. Using the overlapping period of the SILSO v2.

Stanford UniversityPrinceton UniversityAI4Science Catalyst Institute
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