Empirical Bayes Estimators Outperform Standard Estimators in All Experiments
The article shows that using data from past experiments can help improve estimates in current experiments. By using certain methods called linear empirical Bayes estimators, we can get better estimates than using only the current experiment data. This improvement is not just for large amounts of past data, but even for just a few past experiments.
