Using approximate Bayesian computation for estimating parameters in the cue-based retrieval model of sentence processing

• Published in: MethodsX Vol. 7; p. 100850
• Main Author: Vasishth, Shravan
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.01.2020; Elsevier
• Subjects: Bayesian parameter estimation; Bayesian theory; bioinformatics; Prior and posterior predictive distributions; Psycholinguistics; Psychology; reading; uncertainty; Approximate Bayesian Computation using rejection sampling; Bayesian parameter estimation; Psycholinguistics; Prior and posterior predictive distributions

A commonly used approach to parameter estimation in computational models is the so-called grid search procedure: the entire parameter space is searched in small steps to determine the parameter value that provides the best fit to the observed data. This approach has several disadvantages: first, it...