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. 2018 Feb;72(1):4-13.
doi: 10.1111/stan.12111. Epub 2017 Jul 5.

Analytic posteriors for Pearson's correlation coefficient

Affiliations

Analytic posteriors for Pearson's correlation coefficient

Alexander Ly et al. Stat Neerl. 2018 Feb.

Abstract

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.

Keywords: bivariate normal distribution; hypergeometric functions; reference priors.

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References

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