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Analytic posteriors for Pearson's correlation coefficient
Pearson's correlation is one of the most common measures of linear dependence. Recently, Bernardo (11th International Workshop on Objective Bayes Methodology, 2015) introduced a flexible class of priors to study this measure in a Bayesian setting. For this large class of priors, we show that th...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5763449/ https://www.ncbi.nlm.nih.gov/pubmed/29353942 http://dx.doi.org/10.1111/stan.12111 |
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author | Ly, Alexander Marsman, Maarten Wagenmakers, Eric‐Jan |
author_facet | Ly, Alexander Marsman, Maarten Wagenmakers, Eric‐Jan |
author_sort | Ly, Alexander |
collection | PubMed |
description | Pearson's correlation is one of the most common measures of linear dependence. Recently, Bernardo (11th International Workshop on Objective Bayes Methodology, 2015) introduced a flexible class of priors to study this measure in a Bayesian setting. For this large class of priors, we show that the (marginal) posterior for Pearson's correlation coefficient and all of the posterior moments are analytic. Our results are available in the open‐source software package JASP. |
format | Online Article Text |
id | pubmed-5763449 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-57634492018-01-17 Analytic posteriors for Pearson's correlation coefficient Ly, Alexander Marsman, Maarten Wagenmakers, Eric‐Jan Stat Neerl Original Articles Pearson's correlation is one of the most common measures of linear dependence. Recently, Bernardo (11th International Workshop on Objective Bayes Methodology, 2015) introduced a flexible class of priors to study this measure in a Bayesian setting. For this large class of priors, we show that the (marginal) posterior for Pearson's correlation coefficient and all of the posterior moments are analytic. Our results are available in the open‐source software package JASP. John Wiley and Sons Inc. 2017-07-05 2018-02 /pmc/articles/PMC5763449/ /pubmed/29353942 http://dx.doi.org/10.1111/stan.12111 Text en © 2017 The Authors. Statistica Neerlandica © 2017 VVS. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Articles Ly, Alexander Marsman, Maarten Wagenmakers, Eric‐Jan Analytic posteriors for Pearson's correlation coefficient |
title | Analytic posteriors for Pearson's correlation coefficient |
title_full | Analytic posteriors for Pearson's correlation coefficient |
title_fullStr | Analytic posteriors for Pearson's correlation coefficient |
title_full_unstemmed | Analytic posteriors for Pearson's correlation coefficient |
title_short | Analytic posteriors for Pearson's correlation coefficient |
title_sort | analytic posteriors for pearson's correlation coefficient |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5763449/ https://www.ncbi.nlm.nih.gov/pubmed/29353942 http://dx.doi.org/10.1111/stan.12111 |
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