Statistical Decision Theory and Bayesian Analysis (Springer Series in Statistics)

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

Deep Learning (Adaptive Computation and Machine Learning)

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

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

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

Testing Statistical Hypotheses (Springer Texts in Statistics)

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

Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics)

Decision Making Under Uncertainty: Theory and Application (MIT Lincoln Laboratory Series)

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems