2024
On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function
NeurIPS 2024spotlight
Causal discovery from observational data, especially for count data, is essential across scientific and industrial contexts, such as biology, economics, and network operation maintenance. For this task, most approaches model count data using Bayesian networks or ordinal relations. However, they over…