An Introduction to the Bootstrap (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

Bootstrap Methods And Their Application (Cambridge Series in Statistical and Probabilistic Mathematics)

Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs)

Applied Predictive Modeling

Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

Statistical Learning with Sparsity: The Lasso and Generalizations (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Statistical Rethinking: A Bayesian Course with Examples in R and Stan (Chapman & Hall/CRC Texts in Statistical Science)

Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction (Institute of Mathematical Statistics Monographs)

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data