Casini, Lorenzo and Moneta, Alessio and Capasso, Marco
(2020)
Variable Definition and Independent Components.
In: UNSPECIFIED.
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Text (Forthcoming in the Proceedings Volume of PSA2020: The 27th Biennial Meeting of the Philosophy of Science Association (Baltimore, MD; 18-22 Nov 2020))
CasiniMonetaCapasso_Variable_Definition_and_Independent_Components.pdf
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Abstract
In the causal modelling literature, it is well known that “ill-defined” variables may give rise to “ambiguous manipulations” (Spirtes and Scheines, 2004). Here, we illustrate how ill-defined variables may also induce mistakes in causal inference when standard causal search methods are applied (Spirtes et al., 2000; Pearl, 2009). To address the problem, we introduce a representation framework, which exploits an independent component representation of the data, and demonstrate its potential for detecting ill-defined variables and avoiding mistaken causal inferences.
Item Type: |
Conference or Workshop Item
(UNSPECIFIED)
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Creators: |
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Additional Information: |
Accepted for publication in the PSA2020 proceedings.
[2020] PSA2020: The 27th Biennial Meeting of the Philosophy of Science Association (Baltimore, MD; 18-22 Nov 2020) |
Subjects: |
General Issues > Causation |
Depositing User: |
Dr. Lorenzo Casini
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Date Deposited: |
07 Jul 2020 02:12 |
Last Modified: |
09 Jul 2020 14:07 |
Item ID: |
17438 |
Subjects: |
General Issues > Causation |
Date: |
2 July 2020 |
URI: |
https://philsci-archive.pitt.edu/id/eprint/17438 |
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