A Bayesian analysis of retention functions

DOI10.1016/j.jmp.2004.06.002zbMath1118.91360OpenAlexW2099816991WikidataQ57710708 ScholiaQ57710708MaRDI QIDQ1775814

Michael D. Lee

Publication date: 4 May 2005

Published in: Journal of Mathematical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmp.2004.06.002

zbMATH Keywords

complexitygoodness-of-fitLaplacian approximation

Mathematics Subject Classification ID

Cognitive psychology (91E10)

Related Items (9)

Prototypes, exemplars and the response scaling parameter: a Bayes factor perspective ⋮ Prior sensitivity in theory testing: an apologia for the Bayes factor ⋮ The form of the forgetting curve and the fate of memories ⋮ Constructing informative model priors using hierarchical methods ⋮ A tutorial on approximate Bayesian computation ⋮ A tutorial on Bayes factor estimation with the product space method ⋮ Retroactive interference model of forgetting ⋮ Bayes factors: Prior sensitivity and model generalizability ⋮ Thermodynamic integration and steppingstone sampling methods for estimating Bayes factors: a tutorial

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• Determining the dimensionality of multidimensional scaling representations for cognitive modeling
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• Special issue on model selection
• Probability Theory
• Counting probability distributions: Differential geometry and model selection
• Bayes Factors
• Fisher information and stochastic complexity

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