most citedFair When Trained, Unfair When Deployed: Observable Fairness Measures are Unstable in Performative Prediction Settings

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stat.ME2021

When the Oracle Misleads: Modeling the Consequences of Using Observable Rather than Potential Outcomes in Risk Assessment Instruments

Alan Mishler, Niccolò Dalmasso

Risk Assessment Instruments (RAIs) are widely used to forecast adverse outcomes in domains such as healthcare and criminal justice. RAIs are commonly trained on observational data…

stat.ME2021★ 1 cited

Comment on "Statistical Modeling: The Two Cultures" by Leo Breiman

Matteo Bonvini, Alan Mishler, Edward H. Kennedy

Motivated by Breiman's rousing 2001 paper on the "two cultures" in statistics, we consider the role that different modeling approaches play in causal inference. We discuss the rela…