Adjusted priors for Bayes factors involving reparameterized order constraints (Supplements)

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Description: Supplementary material for the article "Adjusted priors for Bayes factors involving reparameterized order constraints" (Heck & Wagenmakers, 2016)


We highlight the importance of adjusting the prior distribution of a reparameterized model when computing the Bayes factor for model selection. Specifically, we derive adjusted priors for linear order constraints in multinomial processing tree (MPT) models, which are often reparameterized by scaling parameters. As an example, the order constraint on the probabilities $\theta_1 \leq \theta_2$ is e...


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