Bayesian additive regression trees (BART) for regression, classification, uncertainty quantification, and variable selection in R, with optional GPU acceleration.
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Updated
Sep 3, 2026 - HTML
Bayesian additive regression trees (BART) for regression, classification, uncertainty quantification, and variable selection in R, with optional GPU acceleration.
Bayesian uncertainty, calibration, and hallucination-risk modeling for reliable language and multimodal AI.
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
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.
Clean reference code for Switching-Time Posterior Inference for Regime-Switching Stochastic Dynamics
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?"
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