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Hierarchical Normal Example (nimble)10 months ago
Model and Data | Specifying the Models | Fitting the Models | Computing the (Log) Marginal Likelihoods | Bayesian Model Comparison
bridgesampling: An R Package for Estimating Normalizing Constants (JSS version)8 years ago
Introduction | Bridge sampling: the algorithm | Toy example: Bayesian t-test | A ``black box'' Stan interface | Discussion | Acknowledgements
bridgesampling: An R Package for Estimating Normalizing Constants (Extended)8 years ago
Introduction | Bridge sampling: the algorithm | Toy example: Bayesian t-test | A ``black box'' Stan interface | Discussion | Acknowledgements
Bayesian One-Sample T-Test (Stan)8 years ago
Model | Data | Specifying the Models | Fitting the Models | Computing the (Log) Marginal Likelihoods | Computing the Bayes Factor | One-sided Test | References
Hierarchical Normal Example (JAGS)8 years ago
Model and Data | Fitting the Models | Specifying the Unnormalized Log Posterior Function | Specifying the Parameter Bounds | Computing the (Log) Marginal Likelihoods | Bayesian Model Comparison
Hierarchical Normal Example (Stan)8 years ago
Model and Data | Specifying the Models | Fitting the Models | Computing the (Log) Marginal Likelihoods | Bayesian Model Comparison
A Tutorial on Bridge Sampling9 years ago