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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2023
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.
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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
title_full Advice on describing Bayesian analysis of neutron and X-ray reflectometry
title_fullStr Advice on describing Bayesian analysis of neutron and X-ray reflectometry
title_full_unstemmed Advice on describing Bayesian analysis of neutron and X-ray reflectometry
title_short Advice on describing Bayesian analysis of neutron and X-ray reflectometry
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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