3 papers
stat.ME2026
Constrained Weighted Bayesian Bootstrap
Sam Rosen, Jason Xu
We prove the weighted Bayesian bootstrap, a method for approximate sampling of a posterior distribution, can be extended to sample from general constrained posterior distributions…
stat.ML2026
Affinity Graph Connectivity in Convex Clustering
Sam Rosen, Jason Xu
We generalize finite-sample bounds for convex clustering to the setting where affinity weights appearing in the objective correspond to a general connected graph. These bounds and…
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…