3 papers
stat.ME2026
Distributional Discontinuity Design
Kyle Schindl, Larry Wasserman
Regression discontinuity and kink designs are typically analyzed through mean effects, even when treatment changes the shape of the entire outcome distribution. To address this, we…
stat.ME2025
Causal Geodesy: Counterfactual Estimation Along the Path Between Correlation and Causation
Kyle Schindl, Larry Wasserman
We introduce causal geodesy, a framework for studying the landscape of stochastic interventions that lie between the two extremes of performing no intervention, and performing a sh…
stat.ME2024
Incremental effects for continuous exposures
Kyle Schindl, Shuying Shen, Edward H. Kennedy
Causal inference problems often involve continuous treatments, such as dose, duration, or frequency. However, identifying and estimating standard dose-response estimands requires t…