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  1. Model uncertainty and policy choice: A plea for integrated subjectivism.Alistair M. C. Isaac - 2014 - Studies in History and Philosophy of Science Part A 47:42-50.
    A question at the intersection of scientific modeling and public choice is how to deal with uncertainty about model predictions. This "high-level" uncertainty is necessarily value-laden, and thus must be treated as irreducibly subjective. Nevertheless, formal methods of uncertainty analysis should still be employed for the purpose of clarifying policy debates. I argue that such debates are best informed by models which integrate objective features with subjective ones. This integrated subjectivism is illustrated with a case study from the literature on (...)
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  • Expectational v. Instrumental Reasoning: What Statistics Contributes to Practical Reasoning.Mariam Thalos - 2017 - Diametros 53:125-149.
    Utility theories—both Expected Utility (EU) and non-Expected Utility (non-EU) theories—offer numericalized representations of classical principles meant for the regulation of choice under conditions of risk—a type of formal representation that reduces the representation of risk to a single number. I shall refer to these as risk-numericalizing theories of decision. I shall argue that risk-numericalizing theories (referring both to the representations and to the underlying axioms that render numericalization possible) are not satisfactory answers to the question: “How do I take the (...)
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