The Bayesian Inference about Pearson Correlation Model

Pearson correlation coefficient measures the linear relation between two scale variables jointly following a bivariate normal distribution. The conventional statistical inference about the correlation coefficient has been broadly discussed, and its practice has long been offered in IBM® SPSS® Statistics. The design of the Bayesian inference about Pearson correlation coefficient allows users to draw Bayesian inference by estimating Bayes factors and characterizing posterior distributions.

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