2 papers
stat.ME2026
Learning Collapsed Patterns in Compositional Data: A Bayesian Heterogeneous Relative-Shift Approach
Maoran Xu, Guanyu Hu
Relative-shift regression provides a principled framework for modeling compositional covariates by quantifying how the response changes when mass is reallocated from one component…
stat.ME2025
Identifiable and interpretable nonparametric factor analysis
Maoran Xu, Steven Winter, Amy H. Herring +1
Factor models are widely used to reduce dimensionality in modeling high-dimensional data. However, there remains a need for models that can be reliably fit in modest sample sizes a…