Dethier, Corey (2023) Supposition and (Statistical) Models. [Preprint]
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Abstract
In a recent paper, Sprenger advances what he calls a “suppositional” answer to the question of why a Bayesian agent's credences should align with the probabilities found in statistical models. We show that Sprenger's account trades on an ambiguity between hypothetical and subjunctive suppositions and cannot succeed once we distinguish between the two.
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| Item Type: | Preprint | ||||||
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| Keywords: | Statistics; Supposition; Models | ||||||
| Subjects: | General Issues > Models and Idealization Specific Sciences > Probability/Statistics |
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| Depositing User: | Dr. Corey Dethier | ||||||
| Date Deposited: | 20 Jan 2023 18:46 | ||||||
| Last Modified: | 20 Jan 2023 18:46 | ||||||
| Item ID: | 21674 | ||||||
| Subjects: | General Issues > Models and Idealization Specific Sciences > Probability/Statistics |
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| Date: | 2023 | ||||||
| URI: | https://philsci-archive.pitt.edu/id/eprint/21674 |
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