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Variable Definition and Independent Components

Casini, Lorenzo and Moneta, Alessio and Capasso, Marco (2020) Variable Definition and Independent Components. In: UNSPECIFIED.

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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.


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Item Type: Conference or Workshop Item (UNSPECIFIED)
Creators:
CreatorsEmailORCID
Casini, Lorenzolorenzo.casini@unige.ch0000-0001-9891-7324
Moneta, Alessioa.moneta@santannapisa.it
Capasso, Marcomarco.capasso@gmail.com
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
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-dev.library.pitt.edu/id/eprint/17438

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