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INFERENCE ABOUT CAUSALITY FROM CARDIOTOCOGRAPHY SIGNALS USING GAUSSIAN PROCESSES
In this paper, we propose a novel and simple method for discovery of Granger causality from noisy time series using Gaussian processes. More specifically, we adopt the concept of Granger causality, but instead of using autoregressive models for establishing it, we work with Gaussian processes. We sh...
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| Publicado en: | Proc IEEE Int Conf Acoust Speech Signal Process |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2019
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7063584/ https://ncbi.nlm.nih.gov/pubmed/32158361 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/icassp.2019.8683052 |
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