Learning and testing causal models with interventions
© 2018 Curran Associates Inc.All rights reserved. We consider testing and learning problems on causal Bayesian networks as defined by Pearl [Pea09]. Given a causal Bayesian network M on a graph with n discrete variables and bounded in-degree and bounded "confounded components", we show tha...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
2022-06-14T18:55:08Z.
|
| Subjects: | |
| Online Access: | Get fulltext |