2017年12月20日 · This article will use JASP version 0.8.3.1 to illustrate the advantages of a Bayesian analysis of correlation and to compare the results to information provided from traditional methods.

The design of the Bayesian inference about Pearson correlation coefficient allows users to draw Bayesian inference by estimating Bayes factors and characterizing posterior distributions. Select the appropriate Test Variables to use for pairwise correlation inference from the Available Variables list. At least two source variables must be selected.

Obtaining Bayesian correlation analysis. From the menus choose: Analyze > Association and prediction > Bayesian correlation. Click Select variables under the Variables section to select variables to use for pairwise correlation inference. At least two source variables must be selected.

The Bayesian approach is one alternative for estimating correlation coefficients in which knowledge from previous studies is incorporated to improve estimation. The purpose of this paper is to illustrate the utility of the Bayesian approach.

2017年12月1日 · This article provides an introduction to Bayesian methods for exploring the relationship between 2 quantitative variables, illustrated with a dataset from the literature and analyzed with free, easy-to-use software.

We review recent developments in Bayesian models and inference methods for CCA which are attractive for their potential in hierarchical extensions and for coping with the combina-tion of large dimensionalities and small sample sizes.

Unlike P values, simple Bayesian analyses can provide a direct measure of the strength of evidence both for and against a study hypothesis, which can be helpful for researchers for interpreting and making de- cisions about their results.

We propose a default Bayesian hypothesis test for the presence of a correlation or a partial correlation. The test is a direct application of Bayesian techniques for variable selection in regression models.

2012年7月14日 · We propose a default Bayesian hypothesis test for the presence of a correlation or a partial correlation. The test is a direct application of Bayesian techniques for variable selection in regression models.

2019年2月16日 · There’s more than one way to fit a Bayesian correlation in brms. Here’s the deal. In the last post, we considered how we might estimate correlations when our data contain influential outlier values.