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Causal discovery and inference: concepts and recent methodological advances

This paper aims to give a broad coverage of central concepts and principles involved in automated causal inference and emerging approaches to causal discovery from i.i.d data and from time series. After reviewing concepts including manipulations, causal models, sample predictive modeling, causal pre...

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Detalhes bibliográficos
Publicado no:Appl Inform (Berl)
Main Authors: Spirtes, Peter, Zhang, Kun
Formato: Artigo
Idioma:Inglês
Publicado em: Springer Berlin Heidelberg 2016
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4841209/
https://ncbi.nlm.nih.gov/pubmed/27195202
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40535-016-0018-x
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