How cognitive modeling can benefit from hierarchical Bayesian models
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Publication:631933
DOI10.1016/j.jmp.2010.08.013zbMath1208.91123OpenAlexW2043071382WikidataQ57710667 ScholiaQ57710667MaRDI QIDQ631933
Publication date: 14 March 2011
Published in: Journal of Mathematical Psychology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmp.2010.08.013
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Cites Work
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- A Bayesian hierarchical model for the measurement of working memory capacity
- The form of the forgetting curve and the fate of memories
- Hierarchical single- and dual-process models of recognition memory
- Understanding memory impairment with memory models and hierarchical Bayesian analysis
- Hierarchical models of simple mechanisms underlying confidence in decision making
- A hierarchical state space approach to affective dynamics
- Hierarchical Bayesian parameter estimation for cumulative prospect theory
- Cognitive model decomposition of the BART: assessment and application
- Constructing informative model priors using hierarchical methods
- A general latent assignment approach for modeling psychological contaminants
- Bayesian parameter estimation in the Expectancy Valence model of the Iowa gambling task
- Theory of statistics
- Signal detection models with random participant and item effects
- Multidimensional Scaling, Tree-Fitting, and Clustering
- Bayesian Statistical Modelling
- Bayesian Logical Data Analysis for the Physical Sciences
- Bayesian Econometric Methods
- The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks
- Graphical models
