城市科学视角下的因果发现
城市科学中的因果性回顾
- Causal discovery aims to infer causal structure from data. In other words, given dataset, derive a causal model that describes it.
- Causal inference, which aims to answer questions involving cause and effect
地理因果:更统一的解释?克服时空相关性的陷阱,因果性特征:稳定性更强的GeoAI, 更明确的机理,e.g. STGC-GNNs: A GNN-based traffic prediction framework with a spatial–temporal Granger causality graph
因果论:The Art and Science of Cause and Effect,Judea Pearl
从随机对照试验到因果发现基本假设
反事实