Showing stat.MEShow all
3 papers · 1 filter
stat.ME2026
Synthetic Data, Information, and Prior Knowledge: Why Synthetic Data Augmentation to Boost Sample Doesn't Work for Statistical Inference
Reid Dale, Jordan Rodu, Mike Baiocchi
The use of synthetic data to deidentify data and to improve predictive models is well-attested to. The augmentation of datasets using synthetically generated data is an alluring pr…
stat.ME2024
Constrained Design of a Binary Instrument in a Partially Linear Model
Tim Morrison, Minh Nguyen, Jonathan Chen +2
We study the question of how best to assign an encouragement in a randomized encouragement study. In our setting, units arrive with covariates, receive a nudge toward treatment or…
stat.ME2020
Combining Observational and Experimental Datasets Using Shrinkage Estimators
Evan Rosenman, Guillaume Basse, Art Owen +1
We consider the problem of combining data from observational and experimental sources to make causal conclusions. This problem is increasingly relevant, as the modern era has yield…