2 papers
stat.ME2026
Bayesian Nonparametric Longitudinal Factor Model for Microbiome Counts
Shuangjie Zhang, Seoyeon Ok, Arul Jayaraman +4
Longitudinal microbiome studies provide important insights into the temporal evolution of microbial abundances and dynamic cross-feature dependence. Modeling longitudinal microbiom…
stat.ME2026
Structure Learning for Directed Trees with Zero-Inflated Compositional Nodes
Shuangjie Zhang, Bani K. Mallick, Yang Ni
Compositional data, which are vectors of proportions constrained to the probability simplex, arise frequently in modern scientific applications, including microbiome relative abund…