Engaged in a comprehensive project aiming to master Bayesian methods for regression models, especially
when dealing with binary or polytomous outcome variables, or multiple outcome variables in R studio
Analyzed heart-attack dataset and applied advanced techniques, Cumulative Link Model, Hamiltonian
Monte Carlo, Horseshoe Prior to establishing Bayesian model and making prediction
Conclusion
Bayesian model with horseshoe
prior performs the best
1 (male) is associated with the log
odds decrease in the outcome by
1.64 - Female is more likely to get
heart attack. Typical chest pain
would have a higher impact on the
outcome variable compared to
other type of chest pains.
Members
Haiyue Zhang, Wendy Zheng, Ishaan Bhandari, Kehuan Wang, April Wu
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