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The Limits of Bayesian Thinking in Court
We comment on the contributions of Dahlman and of Fenton et al., who both suggested a Bayesian approach to analyze the Simonshaven case. We argue that analyzing a full case with a Bayesian approach is not feasible, and that there are serious problems with assigning actual numbers to probabilities an...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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John Wiley and Sons Inc.
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7687214/ https://www.ncbi.nlm.nih.gov/pubmed/31670466 http://dx.doi.org/10.1111/tops.12478 |
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author | Meester, Ronald |
author_facet | Meester, Ronald |
author_sort | Meester, Ronald |
collection | PubMed |
description | We comment on the contributions of Dahlman and of Fenton et al., who both suggested a Bayesian approach to analyze the Simonshaven case. We argue that analyzing a full case with a Bayesian approach is not feasible, and that there are serious problems with assigning actual numbers to probabilities and priors. We also discuss the nature of Bayesian thinking in court, and the nature and interpretation of the likelihood ratio. In particular, we discuss what it could mean that a likelihood ratio is in some sense uncertain. |
format | Online Article Text |
id | pubmed-7687214 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76872142020-12-05 The Limits of Bayesian Thinking in Court Meester, Ronald Top Cogn Sci Models of Rational Proof in Criminal Law Editors: Henry Prakken, Floris Bex and Anne Ruth Mackor We comment on the contributions of Dahlman and of Fenton et al., who both suggested a Bayesian approach to analyze the Simonshaven case. We argue that analyzing a full case with a Bayesian approach is not feasible, and that there are serious problems with assigning actual numbers to probabilities and priors. We also discuss the nature of Bayesian thinking in court, and the nature and interpretation of the likelihood ratio. In particular, we discuss what it could mean that a likelihood ratio is in some sense uncertain. John Wiley and Sons Inc. 2019-10-31 2020-10 /pmc/articles/PMC7687214/ /pubmed/31670466 http://dx.doi.org/10.1111/tops.12478 Text en © 2019 The Author. Topics in Cognitive Science published by Wiley Periodicals, Inc. on behalf of Cognitive Science Society This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Models of Rational Proof in Criminal Law Editors: Henry Prakken, Floris Bex and Anne Ruth Mackor Meester, Ronald The Limits of Bayesian Thinking in Court |
title | The Limits of Bayesian Thinking in Court |
title_full | The Limits of Bayesian Thinking in Court |
title_fullStr | The Limits of Bayesian Thinking in Court |
title_full_unstemmed | The Limits of Bayesian Thinking in Court |
title_short | The Limits of Bayesian Thinking in Court |
title_sort | limits of bayesian thinking in court |
topic | Models of Rational Proof in Criminal Law Editors: Henry Prakken, Floris Bex and Anne Ruth Mackor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7687214/ https://www.ncbi.nlm.nih.gov/pubmed/31670466 http://dx.doi.org/10.1111/tops.12478 |
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