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On Geometry of Information Flow for Causal Inference
Causal inference is perhaps one of the most fundamental concepts in science, beginning originally from the works of some of the ancient philosophers, through today, but also weaved strongly in current work from statisticians, machine learning experts, and scientists from many other fields. This pape...
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| 出版年: | Entropy (Basel) |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7516872/ https://ncbi.nlm.nih.gov/pubmed/33286168 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22040396 |
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