2 papers
stat.ME2026
Optimizing Experimental Design for Causal Effect Estimation with Partial Measurements
Leopold Mareis
Instrumental variable regression quantifies causal effects between a possibly confounded treatment variable and a response variable by leveraging an instrument $ X_…
stat.ME2026
Cost-Aware Optimized Front-Door Experimental Design
Leopold Mareis, Mathias Drton
Causal effect estimation often succeeds cost-constrained sequential data collection. This work considers multivariate linear front-door models with arbitrary unobserved confounding…