3 papers
stat.ME2026
Bayesian Poisson-Randomized Gamma Tensor Factorization with Application to International Trade Flows
Jie Jian, Aaron Schein
We study sparse semi-continuous tensor data with excess zeros, heavy right tails, and slice-specific dispersion. Such features arise naturally in monetary-valued multi-way data, su…
stat.ME2026
The Triply-Randomized Negative Binomial Beta for Robust Regression and Conjugate Models of Bounded Support Data
Jimmy Lederman, Aaron Schein
The beta distribution is the default choice of likelihood in many regression problems with a -bounded support response despite its sensitivity to outliers, inability to acco…
stat.ML2026
Discrete Causal Representations from Heterogeneous Domains: A Bayesian Approach with Social Survey Applications
Ankur Garg, Michael Stettler, Aaron Schein +1
Causal representation learning aims to infer the high-level latent causal concepts that give rise to observed low-level measurements. This is particularly relevant for heterogeneou…