Pages that link to "Item:Q631951"
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The following pages link to Constructing informative model priors using hierarchical methods (Q631951):
Displaying 13 items.
- Empirical priors for reinforcement learning models (Q285948) (← links)
- Prototypes, exemplars and the response scaling parameter: a Bayes factor perspective (Q296949) (← links)
- Using Bayes factors to test the predictions of models: a case study in visual working memory (Q296960) (← links)
- How cognitive modeling can benefit from hierarchical Bayesian models (Q631933) (← links)
- Hierarchical shrinkage priors for regression models (Q1699645) (← links)
- Structured hierarchical models for probabilistic inference from perturbation screening data (Q2170453) (← links)
- Algebraic aspects of Bayesian modeling in psychology (Q2176447) (← links)
- Thermodynamic integration and steppingstone sampling methods for estimating Bayes factors: a tutorial (Q2332817) (← links)
- Construction of an informative hierarchical prior for a small sample with the help of historical data and application to electricity load forecasting (Q2351820) (← links)
- Approaches to analysis in model-based cognitive neuroscience (Q2407632) (← links)
- A prior for the variance in hierarchical models (Q4944645) (← links)
- On hierarchical prior specifications and penalized likelihood (Q5499708) (← links)
- The relationship between the power prior and hierarchical models (Q5965281) (← links)