Potential outcomes and decision-theoretic foundations for statistical causality: Response to Richardson and Robins-Reference-Cited by-同舟云学术

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Potential outcomes and decision-theoretic foundations for statistical causality: Response to Richardson and Robins

Published:2024-01-01 Issue:1 Volume:12 Page:
ISSN:2193-3685
Container-title:Journal of Causal Inference
language:en
Short-container-title:

Author:

Dawid Philip¹

Affiliation:

1. Statistical Laboratory, University of Cambridge , Cambridge CB3 0WB , United Kingdom

Abstract

Abstract I thank Thomas Richardson and James Robins for their discussion of my article, and discuss the similarities and differences between their approach to causal modelling, based on single world intervention graphs, and my own decision-theoretic approach.

Publisher

Walter de Gruyter GmbH

Link

https://www.degruyter.com/document/doi/10.1515/jci-2023-0058/pdf

Reference17 articles.

1. Richardson TS, Robins JM. Potential outcomes and decision theoretic foundations for statistical causality. J Causal Inference. 2023;11:20220012. doi: https://doi.org/10.1515/jci-2022-0012.

2. Dawid AP. Decision-theoretic foundations for statistical causality. J Causal Inference. 2021;9:39–77. doi: http://dx.doi.org/10.1515/jci-2020-0008.

3. Pearl J, Mackenzie D. The book of why. New York: Basic Books; 2018.

4. Dawid AP. Counterfactuals, hypotheticals and potential responses: A philosophical examination of statistical causality. In: Russo F, Williamson J, editors. Causality and probability in the sciences. vol. 5 of Texts in Philosophy. London: College Publications; 2007. p. 503–32.

5. Dawid AP, Musio M. Effects of causes and causes of effects. Ann Rev Stat Appl. 2022;9:261–87. doi: https://doi.org/10.1146/annurevstatistics-070121-061120.

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