2024
DOI: 10.12688/wellcomeopenres.22288.1
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Enhancing experimental design through Bayes factor design analysis: insights from multi-armed bandit tasks

Sarah Schreiber,
Danielle Hewitt,
Ben Seymour
et al.

Abstract: Bayesian statistics are popular in human cognitive neuroscience research because they can incorporate prior knowledge. Although well established for retrospective analysis, the application of Bayesian methods to prospective analysis is less well developed, especially when used in combination with computational model-based analysis of behavioural data. It is therefore important to establish effective methods for testing and optimising experimental designs for these purposes. One potential framework for a prospe… Show more

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