3 papers
stat.ME2026
Bayesian nonparametric modeling of dynamic pollution clusters through an autoregressive logistic-beta Stirling-gamma process
Santiago Marin, Bronwyn Loong, Anton H. Westveld
Fine suspended particulates (FSP), commonly known as PM2.5, are among the most harmful air pollutants, posing serious risks to population health and environmental integrity. As suc…
stat.ME2024
Adaptive Shrinkage with a Nonparametric Bayesian Lasso
Santiago Marin, Bronwyn Loong, Anton H. Westveld
Modern approaches to perform Bayesian variable selection rely mostly on the use of shrinkage priors. That said, an ideal shrinkage prior should be adaptive to different signal leve…
stat.ME2024
BOB: Bayesian Optimized Bootstrap for Uncertainty Quantification in Gaussian Mixture Models
Santiago Marin, Bronwyn Loong, Anton H. Westveld
A natural way to quantify uncertainties in Gaussian mixture models (GMMs) is through Bayesian methods. That said, sampling from the joint posterior distribution of GMMs via standar…