2020
Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks
NeurIPS 2020spotlight
Multivariate zero-inflated count data arise in a wide range of areas such as economics, social sciences, and biology. To infer causal relationships in zero-inflated count data, we propose a new zero-inflated Poisson Bayesian network (ZIPBN) model. We show that the proposed ZIPBN is ide…