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Estimating Conditional Transfer Entropy in Time Series Using Mutual Information and Nonlinear Prediction
We propose a new estimator to measure directed dependencies in time series. The dimensionality of data is first reduced using a new non-uniform embedding technique, where the variables are ranked according to a weighted sum of the amount of new information and improvement of the prediction accuracy...
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| Publicado no: | Entropy (Basel) |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7597255/ https://ncbi.nlm.nih.gov/pubmed/33286893 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22101124 |
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