Large-scale inference: empirical Bayes methods for estimation, testing, and prediction

摘要

With the proliferation of high-dimensional data comes the daunting task of soliciting as much information from such data as possible. This process is particularly challenging since the number of variables is often larger than the number of samples. Efron tackles this all-important problem through the use of microarray data. The use of Bayes methods for estimation, testing and prediction procedures is at the heart of this marvellous collection of some of Efron's best work. The chapters are a list of Efron's best papers on false discovery rate (FDR), bound in a book form.