Assumption 6: Exclusion of Feedback Loops
A feedback loop occurs when both causes and causes (X Leftrightarrow Y). Even if the notion of time is not explicitly modeled, this situation can arise in cross-sectional studies where data are collected over a period of time (e.g., temperature and the amount of sea ice). In the generative cause-effect problem setting, it is assumed that feedback loops are excluded. Therefore, the causal graph between and conforms to the literature on Directed Acyclic Graphs (DAGs) restricted to two variables.
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Assumption 2: Time
Assumption 5: Causal Sufficiency
Assumption 9: Variable Units
Assumption 8: Measurement Noise
Assumption 6: Exclusion of Feedback Loops
Independent and Identically Distributed Samples Assumption in Generative Cause-Effect Models
Constraint Relation Assumption in Generative Cause-Effect Models
Selection Bias Assumption in Generative Cause-Effect Models
Faithfulness Assumption in Generative Cause-Effect Models