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stat.AP2025
A Practical Introduction to Regression-based Causal Inference in Meteorology (I): All confounders measured
Caren Marzban, Yikun Zhang, Nicholas Bond +1
Whether a variable is the cause of another, or simply associated with it, is often an important scientific question. Causal Inference is the name associated with the body of techni…
stat.AP2025
A Practical Introduction to Regression-based Causal Inference in Meteorology (II): Unmeasured confounders
Caren Marzban, Yikun Zhang, Nicholas Bond +1
One obstacle to ``elevating'' correlation to causation is the phenomenon of confounding, i.e., when a correlation between two variables exists because both variables are in fact ca…