Model Checking: Posterior Predictive Checks

Once a model is fit and parameters estimated, we would look at how well the model explains the data and what aspects of the data generation process in nature are not captured by the model. Most of the material covered in this post follows the examples from: [1]¬†Gelman, A., Carlin, J. B., Stern, H. S.,... Continue Reading →


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