Journal
BEHAVIOR RESEARCH METHODS
Volume 52, Issue 2, Pages 918-937Publisher
SPRINGER
DOI: 10.3758/s13428-019-01290-6
Keywords
Bayesian model comparison; Differential evolution Markov chain Monte Carlo; Dynamic models of choice; Linear ballistic accumulator; Marginal likelihood; Response time models
Categories
Ask authors/readers for more resources
Over the last decade, the Bayesian estimation of evidence-accumulation models has gained popularity, largely due to the advantages afforded by the Bayesian hierarchical framework. Despite recent advances in the Bayesian estimation of evidence-accumulation models, model comparison continues to rely on suboptimal procedures, such as posterior parameter inference and model selection criteria known to favor overly complex models. In this paper, we advocate model comparison for evidence-accumulation models based on the Bayes factor obtained via Warp-III bridge sampling. We demonstrate, using the linear ballistic accumulator (LBA), that Warp-III sampling provides a powerful and flexible approach that can be applied to both nested and non-nested model comparisons, even in complex and high-dimensional hierarchical instantiations of the LBA. We provide an easy-to-use software implementation of the Warp-III sampler and outline a series of recommendations aimed at facilitating the use of Warp-III sampling in practical applications.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available