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Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models

In many scientific fields, such as economics and neuroscience, we are often faced with nonstationary time series, and concerned with both finding causal relations and forecasting the values of variables of interest, both of which are particularly challenging in such nonstationary environments. In th...

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Dades bibliogràfiques
Publicat a:Proc Mach Learn Res
Autors principals: Huang, Biwei, Zhang, Kun, Gong, Mingming, Glymour, Clark
Format: Artigo
Idioma:Inglês
Publicat: 2019
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6730644/
https://ncbi.nlm.nih.gov/pubmed/31497778
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