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Advice on describing Bayesian analysis of neutron and X-ray reflectometry
As a result of the availability of modern software and hardware, Bayesian analysis is becoming more popular in neutron and X-ray reflectometry analysis. The understandability and replicability of these analyses may be harmed by inconsistencies in how the probability distributions central to Bayesian...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901928/ https://www.ncbi.nlm.nih.gov/pubmed/36777146 http://dx.doi.org/10.1107/S1600576722011426 |
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author | McCluskey, Andrew R. Caruana, Andrew J. Kinane, Christy J. Armstrong, Alexander J. Arnold, Thomas Cooper, Joshaniel F. K. Cortie, David L. Hughes, Arwel V. Moulin, Jean-Francois Nelson, Andrew R. J. Potrzebowski, Wojciech Starostin, Vladimir |
author_facet | McCluskey, Andrew R. Caruana, Andrew J. Kinane, Christy J. Armstrong, Alexander J. Arnold, Thomas Cooper, Joshaniel F. K. Cortie, David L. Hughes, Arwel V. Moulin, Jean-Francois Nelson, Andrew R. J. Potrzebowski, Wojciech Starostin, Vladimir |
author_sort | McCluskey, Andrew R. |
collection | PubMed |
description | As a result of the availability of modern software and hardware, Bayesian analysis is becoming more popular in neutron and X-ray reflectometry analysis. The understandability and replicability of these analyses may be harmed by inconsistencies in how the probability distributions central to Bayesian methods are represented in the literature. Herein advice is provided on how to report the results of Bayesian analysis as applied to neutron and X-ray reflectometry. This includes the clear reporting of initial starting conditions, the prior probabilities, the results of any analysis and the posterior probabilities that are the Bayesian equivalent of the error bar, to enable replicability and improve understanding. It is believed that this advice, grounded in the authors’ experience working in the field, will enable greater analytical reproducibility in the work of the reflectometry community, and improve the quality and usability of results. |
format | Online Article Text |
id | pubmed-9901928 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-99019282023-02-10 Advice on describing Bayesian analysis of neutron and X-ray reflectometry McCluskey, Andrew R. Caruana, Andrew J. Kinane, Christy J. Armstrong, Alexander J. Arnold, Thomas Cooper, Joshaniel F. K. Cortie, David L. Hughes, Arwel V. Moulin, Jean-Francois Nelson, Andrew R. J. Potrzebowski, Wojciech Starostin, Vladimir J Appl Crystallogr Feature Articles As a result of the availability of modern software and hardware, Bayesian analysis is becoming more popular in neutron and X-ray reflectometry analysis. The understandability and replicability of these analyses may be harmed by inconsistencies in how the probability distributions central to Bayesian methods are represented in the literature. Herein advice is provided on how to report the results of Bayesian analysis as applied to neutron and X-ray reflectometry. This includes the clear reporting of initial starting conditions, the prior probabilities, the results of any analysis and the posterior probabilities that are the Bayesian equivalent of the error bar, to enable replicability and improve understanding. It is believed that this advice, grounded in the authors’ experience working in the field, will enable greater analytical reproducibility in the work of the reflectometry community, and improve the quality and usability of results. International Union of Crystallography 2023-02-01 /pmc/articles/PMC9901928/ /pubmed/36777146 http://dx.doi.org/10.1107/S1600576722011426 Text en © Andrew R. McCluskey et al. 2023 https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited. |
spellingShingle | Feature Articles McCluskey, Andrew R. Caruana, Andrew J. Kinane, Christy J. Armstrong, Alexander J. Arnold, Thomas Cooper, Joshaniel F. K. Cortie, David L. Hughes, Arwel V. Moulin, Jean-Francois Nelson, Andrew R. J. Potrzebowski, Wojciech Starostin, Vladimir Advice on describing Bayesian analysis of neutron and X-ray reflectometry |
title | Advice on describing Bayesian analysis of neutron and X-ray reflectometry
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title_full | Advice on describing Bayesian analysis of neutron and X-ray reflectometry
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title_fullStr | Advice on describing Bayesian analysis of neutron and X-ray reflectometry
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title_full_unstemmed | Advice on describing Bayesian analysis of neutron and X-ray reflectometry
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title_short | Advice on describing Bayesian analysis of neutron and X-ray reflectometry
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title_sort | advice on describing bayesian analysis of neutron and x-ray reflectometry |
topic | Feature Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901928/ https://www.ncbi.nlm.nih.gov/pubmed/36777146 http://dx.doi.org/10.1107/S1600576722011426 |
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