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Models with higher effective dimensions tend to produce more uncertain estimates
Mathematical models are getting increasingly detailed to better predict phenomena or gain more accurate insights into the dynamics of a system of interest, even when there are no validation or training data available. Here, we show through ANOVA and statistical theory that this practice promotes fuz...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581491/ https://www.ncbi.nlm.nih.gov/pubmed/36260678 http://dx.doi.org/10.1126/sciadv.abn9450 |
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author | Puy, Arnald Beneventano, Pierfrancesco Levin, Simon A. Lo Piano, Samuele Portaluri, Tommaso Saltelli, Andrea |
author_facet | Puy, Arnald Beneventano, Pierfrancesco Levin, Simon A. Lo Piano, Samuele Portaluri, Tommaso Saltelli, Andrea |
author_sort | Puy, Arnald |
collection | PubMed |
description | Mathematical models are getting increasingly detailed to better predict phenomena or gain more accurate insights into the dynamics of a system of interest, even when there are no validation or training data available. Here, we show through ANOVA and statistical theory that this practice promotes fuzzier estimates because it generally increases the model’s effective dimensions, i.e., the number of influential parameters and the weight of high-order interactions. By tracking the evolution of the effective dimensions and the output uncertainty at each model upgrade stage, modelers can better ponder whether the addition of detail truly matches the model’s purpose and the quality of the data fed into it. |
format | Online Article Text |
id | pubmed-9581491 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-95814912022-10-26 Models with higher effective dimensions tend to produce more uncertain estimates Puy, Arnald Beneventano, Pierfrancesco Levin, Simon A. Lo Piano, Samuele Portaluri, Tommaso Saltelli, Andrea Sci Adv Social and Interdisciplinary Sciences Mathematical models are getting increasingly detailed to better predict phenomena or gain more accurate insights into the dynamics of a system of interest, even when there are no validation or training data available. Here, we show through ANOVA and statistical theory that this practice promotes fuzzier estimates because it generally increases the model’s effective dimensions, i.e., the number of influential parameters and the weight of high-order interactions. By tracking the evolution of the effective dimensions and the output uncertainty at each model upgrade stage, modelers can better ponder whether the addition of detail truly matches the model’s purpose and the quality of the data fed into it. American Association for the Advancement of Science 2022-10-19 /pmc/articles/PMC9581491/ /pubmed/36260678 http://dx.doi.org/10.1126/sciadv.abn9450 Text en Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Social and Interdisciplinary Sciences Puy, Arnald Beneventano, Pierfrancesco Levin, Simon A. Lo Piano, Samuele Portaluri, Tommaso Saltelli, Andrea Models with higher effective dimensions tend to produce more uncertain estimates |
title | Models with higher effective dimensions tend to produce more uncertain estimates |
title_full | Models with higher effective dimensions tend to produce more uncertain estimates |
title_fullStr | Models with higher effective dimensions tend to produce more uncertain estimates |
title_full_unstemmed | Models with higher effective dimensions tend to produce more uncertain estimates |
title_short | Models with higher effective dimensions tend to produce more uncertain estimates |
title_sort | models with higher effective dimensions tend to produce more uncertain estimates |
topic | Social and Interdisciplinary Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581491/ https://www.ncbi.nlm.nih.gov/pubmed/36260678 http://dx.doi.org/10.1126/sciadv.abn9450 |
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