5 citations · 5 across the 2 of their papers we have counts for
3 papers
stat.ME2022
Functional Bayesian Networks for Discovering Causality from Multivariate Functional Data
Fangting Zhou, Kejun He, Kunbo Wang +2
Multivariate functional data arise in a wide range of applications. One fundamental task is to understand the causal relationships among these functional objects of interest, which…
stat.ME2022★ 5 cited
Causal Discovery with Heterogeneous Observational Data
Fangting Zhou, Kejun He, Yang Ni
We consider the problem of causal discovery (structure learning) from heterogeneous observational data. Most existing methods assume a homogeneous sampling scheme, which leads to m…
stat.ME2020
Bayesian biclustering for microbial metagenomic sequencing data via multinomial matrix factorization
Fangting Zhou, Kejun He, Qiwei Li +2
High-throughput sequencing technology provides unprecedented opportunities to quantitatively explore human gut microbiome and its relation to diseases. Microbiome data are composit…