Bootstrap Methods and their Application (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 1)

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

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

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

Deep Learning (Adaptive Computation and Machine Learning series)

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

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

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

Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction

Statistical Analysis with Missing Data

Categorical Data Analysis