Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction

摘要

As we all will have noticed, a number of fields have emerged over the last few decades which present inferential challenges not adequately met by the methods developed by Pearson, Fisher, Neyman, and their immediate successors. Mapping disease risk, brain imaging, and analysing microarray data are just three examples. Put very briefly, these challenges involve estimating, testing or predicting many things, that is, large-scale inference, the title of Bradley Efron's latest book.