Pages that link to "Item:Q615665"
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The following pages link to Hierarchical Bayes models for response time data (Q615665):
Displaying 14 items.
- Semiparametric Bayesian approaches to systems factorial technology (Q730154) (← links)
- The lognormal race: a cognitive-process model of choice and latency with desirable psychometric properties (Q748217) (← links)
- A hierarchical Bayes analysis of data on daily activity cycles (Q1403733) (← links)
- A Bayesian analysis of retention functions (Q1775814) (← links)
- Bayesian analysis of ANOVA and mixed models on the log-transformed response variable (Q2066607) (← links)
- Modeling dependence structures for response times in a Bayesian framework (Q2331189) (← links)
- Approaches to analysis in model-based cognitive neuroscience (Q2407632) (← links)
- Variability in behavior that cognitive models do not explain can be linked to neuroimaging data (Q2407638) (← links)
- On the efficiency of neurally-informed cognitive models to identify latent cognitive states (Q2407644) (← links)
- A Bayesian race model for response times under cyclic stimulus discriminability (Q2415461) (← links)
- Approximate Bayesian computation with differential evolution (Q2438616) (← links)
- Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Tone Learning in Adults (Q6044618) (← links)
- Bayesian hierarchical models incorporating measurement error for interrupted time series design (Q6063157) (← links)
- Bayesian hierarchical response time modelling—A tutorial (Q6185856) (← links)
