Concentration Inequalities: A Nonasymptotic Theory of Independence

Deep Learning (Adaptive Computation and Machine Learning series)

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

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

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

Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)

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

Asymptotic Statistics (Cambridge Series in Statistical and Probabilistic Mathematics)

Introduction to Random Graphs

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