Computer Age Statistical Inference

Computer Age Statistical Inference by Bradley Efron (co-authored with Trevor Hastie) bridges classical and modern approaches to statistics in the era of big data and computational power. The book provides a unified view of statistical inference, covering traditional methods like Bayesian and frequentist inference while also exploring contemporary machine learning techniques such as bootstrapping, regression trees, and neural networks. Written by two leading statisticians, it's a valuable resource for advanced students and professionals seeking to understand the evolving role of computation in statistical analysis.