4 papers · 1 filter
Generated outcomes as generated regressors: Equivalences in recursive causal estimation
Wisse Rutgers, Rahul Singh
Time-varying treatment effects, surrogate-identified treatment effects, and mediation effects can all be written as recursive regressions, in which each regression's predicted valu…
Testing for lack of fit in paired comparison data
Rahul Singh, Ori Davidov
Linear stochastic transitivity is a central assumption in paired comparison models that is rarely verified in practice. Empirical violations, however, are common and can substantia…
Automatic Debiased Machine Learning for Covariate Shifts
Victor Chernozhukov, Michael Newey, Whitney K Newey +2
We present machine learning estimators for causal and predictive parameters under covariate shift, where covariate distributions differ between training and target populations. One…
Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves
Rahul Singh, Liyuan Xu, Arthur Gretton
We propose simple nonparametric estimators for mediated and time-varying dose response curves based on kernel ridge regression. By embedding Pearl's mediation formula and Robins' g…