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Found 3 papers, 2 papers with code
Boosted Control Functions
In particular, we establish a novel connection between the field of distribution generalization from machine learning, and simultaneous equation models and control function from econometrics.
A causal framework for distribution generalization
We introduce the formal framework of distribution generalization that allows us to analyze the above problem in partially observed nonlinear models for both direct interventions on $X$ and interventions that occur indirectly via exogenous variables $A$.
Methodology Primary 62Gxx, secondary 62G35, 62G08, 62D20
Causal discovery in heavy-tailed models
Causal questions are omnipresent in many scientific problems.
Methodology
