Weak Convergence and Empirical Processes: With Applications to Statistics (Springer Series in Statistics)

Asymptotic Statistics (Cambridge Series in Statistical and Probabilistic Mathematics)

Empirical Processes in M-Estimation (Cambridge Series in Statistical and Probabilistic Mathematics)

Uniform Central Limit Theorems (Cambridge Studies in Advanced Mathematics)

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

Concentration Inequalities: A Nonasymptotic Theory of Independence

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 & Applied Probability)

Theory of Point Estimation (Springer Texts in Statistics)

Convex Optimization

Concentration Inequalities: A Nonasymptotic Theory of Independence