3 papers
stat.ME2026
Revisiting Bayesian Variable Selection via Optimization
Leo L Duan
Variable selection in linear regression has been a central topic in statistical research for decades. Bayesian variable selection methods, which account for uncertainty in both the…
stat.ME2026
Bayesian Distance-to-Set Models: from Latent Variable to Latent Projection
Leo L Duan, Yuexi Wang, Jason Xu
Statistical models often assume that data are generated near a structured, smooth, or low-dimensional set. A common approach is to use Bayesian latent variable models, in which eac…
stat.ME2025
Exact Sampling of Spanning Trees via Fast-forwarded Random Walks
Edric Tam, David B. Dunson, Leo L. Duan
Tree graphs are routinely used in statistics. When estimating a Bayesian model with a tree component, sampling the posterior remains a core difficulty. Existing Markov chain Monte…