Bayesian Methods Lab: exploratory research on Bayesian modeling, posterior inference, uncertainty quantification, and robust prediction, beginning with Bayesian regression foundations.
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Updated
Jul 8, 2026 - Python
Bayesian Methods Lab: exploratory research on Bayesian modeling, posterior inference, uncertainty quantification, and robust prediction, beginning with Bayesian regression foundations.
Bayesian linear regression in R and JAGS testing whether long game or short game has a greater effect on PGA Tour scoring : "drive for show or putt for dough?"
Code release for Switching-Time Posterior Inference for Regime-Switching Stochastic Dynamics
Hierarchical Bayesian models for insurance pricing — PyMC 5, thin-data segments, credibility factors
Clean reference code for Switching-Time Posterior Inference for Regime-Switching Stochastic Dynamics
Bayesian regression analysis of used-car prices using Gibbs sampling, posterior inference, credible intervals, and predictive uncertainty quantification in R.
Bayesian group comparison models using Gaussian and Gamma likelihoods with hierarchical partial pooling in PyMC.
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