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…