Pages that link to "Item:Q396240"
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The following pages link to A Bayesian hierarchical mixture approach to individual differences: case studies in selective attention and representation in category learning (Q396240):
Displaying 13 items.
- A Bayesian approach to modeling group and individual differences in multidimensional scaling (Q256396) (← links)
- Bayes factors, relations to minimum description length, and overlapping model classes (Q296927) (← links)
- Prototypes, exemplars and the response scaling parameter: a Bayes factor perspective (Q296949) (← links)
- How cognitive modeling can benefit from hierarchical Bayesian models (Q631933) (← links)
- A study of individual differences in categorization with redundancy (Q826952) (← links)
- Algebraic aspects of Bayesian modeling in psychology (Q2176447) (← links)
- Hierarchical Bayesian mixture models of processing architectures and stopping rules (Q2176774) (← links)
- A hierarchical Bayesian approach to assess learning and guessing strategies in reinforcement learning (Q2176792) (← links)
- An application of multinomial processing tree models and Bayesian methods to understanding memory impairment (Q2177494) (← links)
- Modeling individual differences using Dirichlet processes (Q2507904) (← links)
- A cognitive latent variable model for the simultaneous analysis of behavioral and personality data (Q2513828) (← links)
- A Bayesian nonparametric mixture model for studying universal patterns in color naming (Q2663825) (← links)
- Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Tone Learning in Adults (Q6044618) (← links)
