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math.ST2024
Nonparametric Jackknife Instrumental Variable Estimation and Confounding Robust Surrogate Indices
Aurélien Bibaut, Nathan Kallus, Apoorva Lal
Jackknife instrumental variable estimation (JIVE) is a classic method to leverage many weak instrumental variables (IVs) to estimate linear structural models, overcoming the bias o…
stat.ME2024
Demistifying Inference after Adaptive Experiments
Aurélien Bibaut, Nathan Kallus
Adaptive experiments such as multi-arm bandits adapt the treatment-allocation policy and/or the decision to stop the experiment to the data observed so far. This has the potential…
stat.ME2024
Learning the Covariance of Treatment Effects Across Many Weak Experiments
Aurélien Bibaut, Winston Chou, Simon Ejdemyr +1
When primary objectives are insensitive or delayed, experimenters may instead focus on proxy metrics derived from secondary outcomes. For example, technology companies often infer…