A new method of Bayesian causal inference in non-stationary environments

Bayesian inference is the process of narrowing down the hypotheses (causes) to the one that best explains the observational data (effects). To accurately estimate a cause, a considerable amount of data is required to be observed for as long as possible. However, the object of inference is not always...

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Detalles Bibliográficos
Autores principales: Shinohara, Shuji, Manome, Nobuhito, Suzuki, Kouta, Chung, Ung-il, Takahashi, Tatsuji, Okamoto, Hiroshi, Gunji, Yukio Pegio, Nakajima, Yoshihiro, Mitsuyoshi, Shunji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7244155/
https://www.ncbi.nlm.nih.gov/pubmed/32442220
http://dx.doi.org/10.1371/journal.pone.0233559

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7244155/
https://www.ncbi.nlm.nih.gov/pubmed/32442220
http://dx.doi.org/10.1371/journal.pone.0233559

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