Toward a principled Bayesian workflow in cognitive science.

Volume: 26, Issue: 1, Pages: 103 - 126
Published: Feb 1, 2021
Abstract
Experiments in research on memory, language, and in other areas of cognitive science are increasingly being analyzed using Bayesian methods. This has been facilitated by the development of probabilistic programming languages such as Stan, and easily accessible front-end packages such as brms. The utility of Bayesian methods, however, ultimately depends on the relevance of the Bayesian model, in particular whether or not it accurately captures...
Paper Details
Title
Toward a principled Bayesian workflow in cognitive science.
Published Date
Feb 1, 2021
Volume
26
Issue
1
Pages
103 - 126
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