Causal inference in partially linear structural equation models
نویسندگان
چکیده
منابع مشابه
Restricted Structural Equation Models for Causal Inference
Causal inference tries to solve the following problem: given i.i.d. data from a joint distribution, one tries to infer the underlying causal DAG (directed acyclic graph), in which each node represents one of the observed variables. For approaching this problem, we have to make assumptions that connect the causal graph with the joint distribution. Independence-based methods like the PC algorithm...
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ژورنال
عنوان ژورنال: The Annals of Statistics
سال: 2018
ISSN: 0090-5364
DOI: 10.1214/17-aos1643