3 papers
stat.ME2026
A Probabilistic Model for Zero-Inflated Count Tensors with Structured Latent Representations
Elena Tuzhilina, Yaoming Zhen
We propose a unified probabilistic framework for modeling high-dimensional count tensors with excess zeros. Such data arise naturally in a variety of applications, including single…
math.ST2025
Probabilistic PCA on tensors
Yaoming Zhen, Piotr Zwiernik
In probabilistic principal component analysis (PPCA), an observed vector is modeled as a linear transformation of a low-dimensional Gaussian factor plus isotropic noise. We general…
stat.ME2025
Network-based Neighborhood regression
Yaoming Zhen, Jin-Hong Du
Given the ubiquity of modularity in biological systems, module-level regulation analysis is vital for understanding biological systems across various levels and their dynamics. Cur…