9.5k citations · 11.5k across the 15 of their papers we have counts for
15 papers
A bootstrap approach to prediction-powered inference
Bradley Efron
Prediction-powered inference (PPI) refers to a two-level situation where the statistician observes a set of pairs and another set of s with the responses missing. Al…
Two Modeling Strategies for Empirical Bayes Estimation
Bradley Efron
Empirical Bayes methods use the data from parallel experiments, for instance, observations for , to estimate the conditional distributio…
Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife
Stefan Wager, Trevor Hastie, Bradley Efron
We study the variability of predictions made by bagged learners and random forests, and show how to estimate standard errors for these methods. Our work builds on variance estimate…
Bayesian inference and the parametric bootstrap
Bradley Efron
The parametric bootstrap can be used for the efficient computation of Bayes posterior distributions. Importance sampling formulas take on an easy form relating to the deviance in e…
The Future of Indirect Evidence
Bradley Efron
Familiar statistical tests and estimates are obtained by the direct observation of cases of interest: a clinical trial of a new drug, for instance, will compare the drug's effects…
Rejoinder: The Future of Indirect Evidence
Bradley Efron
Rejoinder to "The Future of Indirect Evidence" [arXiv:1012.1161]