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stat.ME2022
Beyond Conditional Averages: Estimating The Individual Causal Effect Distribution
Richard Post, Edwin van den Heuvel
In recent years, the field of causal inference from observational data has emerged rapidly. The literature has focused on (conditional) average causal effect estimation. When (rema…
stat.ME2022★ 4 cited
Flexible machine learning estimation of conditional average treatment effects: a blessing and a curse
Richard Post, Isabel van den Heuvel, Marko Petkovic +1
Causal inference from observational data requires untestable identification assumptions. If these assumptions apply, machine learning (ML) methods can be used to study complex form…