Review of Causal Discovery Methods Based on Graphical Models
نویسندگان
چکیده
منابع مشابه
Causal Discovery in Climate Science Using Graphical Models
We use the framework of probabilistic graphical models developed by Pearl [1] and by Spirtes et al. [2]. Specifically, we use algorithms for constraint-based structure learning, such as the PC algorithm developed by Spirtes and Glymour [3] and modifications thereof that deal with temporal data. The PC algorithm generates one or more graph representations that describe the potential causal pathw...
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ژورنال
عنوان ژورنال: Frontiers in Genetics
سال: 2019
ISSN: 1664-8021
DOI: 10.3389/fgene.2019.00524