3 papers
math.ST2026
Statistical Decision Theory with Counterfactual Loss
Benedikt Koch, Kosuke Imai
Many researchers apply classical statistical decision theory to evaluate treatment choices and learn optimal policies. However, because this framework relies solely on realized out…
econ.TH2026
An Axiomatic Foundation for Decisions with Counterfactual Utility
Benedikt Koch, Kosuke Imai, Tomasz Strzalecki
Counterfactual utilities evaluate decisions not only by the realized outcome under a given decision, but also by the counterfactual outcomes that would arise under alternative deci…
q-fin.MF2025
Ergodic robust maximization of asymptotic growth with stochastic factor processes
David Itkin, Benedikt Koch, Martin Larsson +1
We consider a robust asymptotic growth problem under model uncertainty in the presence of stochastic factors. We fix two inputs representing the instantaneous covariance for the as…