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

Bradley Efron explores the evolving landscape of statistical inference, particularly in the context of the vast datasets produced by contemporary scientific advancements like microarray experiments and genomic data. He delves into Empirical Bayes methods, addressing their applications in estimation, hypothesis testing, and prediction, tailoring the discussion for a wide audience, from statisticians to scientists across various disciplines.

With a balance of theory and practical application, Efron illustrates how these methods enhance our understanding of complex data structures and improve decision-making processes in various fields. Through insightful examples and a clear narrative, he guides readers in mastering the use of large-scale inference techniques, making this work essential for anyone seeking to navigate the challenges posed by modern data analysis.