Results 1 to 10 of about 50 (47)
Post hoc ergo propter hoc [PDF]
Journal of Thoracic Disease, 2016 The Greeks and Romans recognized this fallacy in argument thousands of years ago. Because one event follows another event does not mean that the first event caused the second ( post hoc ergo propter hoc ). However, in contemporary medical news this logic is not understood.
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Migraine and Triggers: Post Hoc Ergo Propter Hoc? [PDF]
Current Pain and Headache Reports, 2013 The influence of environmental factors on the clinical manifestation of migraine has been a matter of extensive debate over the past decades. Migraineurs commonly report foods, alcohol, meteorologic or atmospheric changes, exposure to light, sounds, or odors, as factors that trigger or aggravate their migraine attacks.
Ana Recober, Jan Hoffmann
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Post hoc Bayesian model selection
NeuroImage, 2011 This note describes a Bayesian model selection or optimization procedure for post hoc inferences about reduced versions of a full model. The scheme provides the evidence (marginal likelihood) for any reduced model as a function of the posterior density over the parameters of the full model.
William D. Penny, Karl J. Friston
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Money and Income: Post Hoc Ergo Propter Hoc? [PDF]
The Quarterly Journal of Economics, 1970 An ultra-Keyniesian model, 303. — A Friedman model, 310. — Comparisons of timing implications, 314.
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Saturated Post-hoc Optimization for Classical Planning
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 Saturated cost partitioning and post-hoc optimization are two powerful cost partitioning algorithms for optimal classical planning. The main idea of saturated cost partitioning is to give each considered heuristic only the fraction of remaining operator costs that it needs to prove its estimates.
Seipp, Jendrik +2 more
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Post hoc Verification of Quantum Computation
Physical Review Letters, 2018 4 pages, 2 ...
Michal Hajdušek +5 more
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Post Hoc Bias in Treatment Decisions
JAMA Network OpenImportanceA goal of health care is to reduce symptoms and improve health status, whereas continuing dubious treatments can contribute to complacency, discourage the search for alternatives, and lead to shortfalls in care.ObjectiveTo test a potential bias in intuitive reasoning following a marginal improvement in symptoms after a dubious treatment (post
Redelmeier, Donald A., Shafir, Eldar
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In Defence of Post-hoc Explainability
The widespread adoption of machine learning in scientific research has created a fundamental tension between model opacity and scientific understanding. Whilst some advocate for intrinsically interpretable models, we introduce Computational Interpretabilism (CI) as a philosophical framework for post-hoc interpretability in scientific AI.
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