Bayesian logistic regression on birthwt comparing diffuse, weak, and informative priors across sample sizes, with LOO diagnostics and an interactive Streamlit demo.
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Updated
Jun 2, 2026 - Python
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prior-sensitivity
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Bayesian hierarchical count modeling case study on prior sensitivity, shrinkage targets, and predictive checks using synthetic grouped-count data.
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Updated
Apr 15, 2026 - Python
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