Results 1 to 10 of about 4,421 (252)
The Deductive Approach to Causal Inference
This paper reviews concepts, principles, and tools that have led to a coherent mathematical theory that unifies the graphical, structural, and potential outcome approaches to causal inference. The theory provides solutions to a number of pending problems
Pearl Judea
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Counterfactual explanations are increasingly vital for understanding and trusting machine learning models. This paper presents Desirability Rating-based Counterfactual (DeRaC), which is a generalized framework for generating valid counterfactual ...
Neelabh Kshetry, Mehmed Kantardzic
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Intense development of Offshore Wind Farms (OWFs) has occurred in the North Sea with several more farms planned for the near future. These OWFs pose a threat to marine megafauna stressing the need to mitigate the impact of human activities.
Auriane Virgili +7 more
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Graphoids over Counterfactuals
Augmenting the graphoid axioms with three additional rules enables us to handle independencies among observed as well as counterfactual variables. The augmented set of axioms facilitates the derivation of testable implications and ignorability conditions
Pearl Judea
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During the COVID-19 pandemic, which spanned much of 2020–2023 and beyond, daily case and death counts were recorded globally. In this study, we examined available mortality counts and associated case counts, with a focus on the estimation missing ...
Andrew B. Lawson +2 more
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Using counterfactuals to display facts – the case of satirical humor
Satire has not been given the humorologists’ attention to an extent that would do justice to the amount of humor satire actually holds. Therefore, the intention of this paper is to shed light on satire as humorous discourse, with an emphasis on ...
Adi Maslo
doaj
A semantics for counterfactuals in quantum causal models
We introduce a formalism for the evaluation of counterfactual queries in the framework of quantum causal models, generalising Pearl’s semantics for counterfactuals in classical causal models, thus completing the last rung in the quantum analogue of Pearl’
Ardra Kooderi Suresh +2 more
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Counterfactuals are widely used to explain ML model predictions by providing alternative scenarios for obtaining more desired predictions. They can be generated by a variety of methods that optimize various, sometimes conflicting, quality measures and ...
Stepka Ignacy +2 more
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Chaotic and complex dynamics expose the limits of counterfactual reasoning. [PDF]
Aalaila Y +4 more
europepmc +1 more source
A causal role of the ventromedial prefrontal cortex in regulating anticipated regret and risk behaviors in trait anxiety. [PDF]
Ai H +8 more
europepmc +1 more source

