Variable Definition and Independent Components

نویسندگان

چکیده

In the causal modeling literature, it is well known that ill-defined variables may give rise to ambiguous manipulations. Here, we illustrate how also induce mistakes in inference when standard search methods are applied. To address problem, introduce a representation framework, which exploits an independent component of data, and demonstrate its potential for detecting avoiding mistaken inferences.

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ژورنال

عنوان ژورنال: Philosophy of Science

سال: 2021

ISSN: ['0031-8248', '1539-767X']

DOI: https://doi.org/10.1086/715218