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pypi.org : infopaths
Straight-forward causality analysis for continuous-valued data. We use the Kraskov-Stoegbauer-Grassberger (KSG) mutual information estimator for transfer entropy and conditional transfer entropy estimation, and the technique proposed by Duan et al. to distinguish direct and spurious causality.
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purl: pkg:pypi/infopaths
Keywords: Information Theory, Transfer Entropy, Mutual Information, Statistical Inference, Conditional Transfer Entropy, Conditional Mutual Information, Nearest Neighbors, Direct Causality, Kraskov, Stoegbauer, Grassberger, Network Analysis, Time Series Analysis, Granger Causality, information-theory, molecular-dynamics, tranfer-entropy
License: MIT
Latest release: almost 3 years ago
First release: almost 3 years ago
Dependent repositories: 1
Downloads: 12 last month
Stars: 7 on GitHub
Forks: 0 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 28 days ago