2022
DOI: 10.1093/bjps/axz041
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Justifying the Norms of Inductive Inference

Abstract: Abstract Bayesian inference is limited in scope because it cannot be applied in idealized contexts where none of the hypotheses under consideration is true and because it is committed to always using the likelihood as a measure of evidential favouring, even when that is inappropriate. The purpose of this article is to study inductive inference in a very general setting where finding the truth is not necessarily the goal and where the measure of evidential favouri… Show more

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“…In the philosophical literature, Douven (2013Douven ( , 2016 and Douven and Wenmackers (2017) argue that an updating method based on Inference to the Best Explanation is often better than Bayesian conditionalization, given certain aims agents may have. Vassend (2019) attempts to give a general framework that subsumes the framework in Bissiri et al (2016) as well as other non-Bayesian updating rules, such as updating based on Inference to the Best Explanation. The rest of this section is in the spirit of this recent work.…”
Section: A Minimum Divergence Perspective On Bayesian Updatingmentioning
confidence: 99%
“…In the philosophical literature, Douven (2013Douven ( , 2016 and Douven and Wenmackers (2017) argue that an updating method based on Inference to the Best Explanation is often better than Bayesian conditionalization, given certain aims agents may have. Vassend (2019) attempts to give a general framework that subsumes the framework in Bissiri et al (2016) as well as other non-Bayesian updating rules, such as updating based on Inference to the Best Explanation. The rest of this section is in the spirit of this recent work.…”
Section: A Minimum Divergence Perspective On Bayesian Updatingmentioning
confidence: 99%