Hierarchical Bayes models for response time data
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Publication:615665
DOI10.1007/S11336-010-9172-6zbMath1208.62185OpenAlexW2089637606MaRDI QIDQ615665
Mario Peruggia, Trisha Van Zandt, Peter F. Craigmile
Publication date: 6 January 2011
Published in: Psychometrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11336-010-9172-6
mixture modelsreaction timesextreme observationslong tailssequential dependenciestime series modelingwavelet-based trend
Bayesian inference (62F15) Measurement and performance in psychology (91E45) Applications of statistics to psychology (62P15)
Related Items (8)
Approaches to analysis in model-based cognitive neuroscience ⋮ Variability in behavior that cognitive models do not explain can be linked to neuroimaging data ⋮ On the efficiency of neurally-informed cognitive models to identify latent cognitive states ⋮ Bayesian hierarchical response time modelling—A tutorial ⋮ Approximate Bayesian computation with differential evolution ⋮ Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Tone Learning in Adults ⋮ Semiparametric Bayesian approaches to systems factorial technology ⋮ The lognormal race: a cognitive-process model of choice and latency with desirable psychometric properties
Uses Software
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