New estimation approaches for the hierarchical Linear Ballistic Accumulator model
Abstract The Linear Ballistic Accumulator (LBA: Brown and Heathcote, 2008) model is used
as a measurement tool to answer questions about applied psychology. The analyses based
on this model depend upon the model selected and its estimated parameters. Modern
approaches use hierarchical Bayesian models and Markov chain Monte-Carlo (MCMC)
methods to estimate the posterior distribution of the parameters. Although there are several
approaches available for model selection, they are all based on the posterior samples …
as a measurement tool to answer questions about applied psychology. The analyses based
on this model depend upon the model selected and its estimated parameters. Modern
approaches use hierarchical Bayesian models and Markov chain Monte-Carlo (MCMC)
methods to estimate the posterior distribution of the parameters. Although there are several
approaches available for model selection, they are all based on the posterior samples …
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