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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…
stat.ME2026
Sparse covariate-driven factorization of high-dimensional brain connectivity with application to site effect correction
Rongqian Zhang, Elena Tuzhilina, Jun Young Park
Large-scale neuroimaging studies often collect data from multiple scanners across different sites, where variations in scanners, scanning procedures, and other conditions across si…