Model Selection and Model Averaging (Cambridge Series in Statistical and Probabilistic Mathematics)

Deep Learning (Adaptive Computation and Machine Learning series)

Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach

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

Mathematical Foundations of Infinite-Dimensional Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics)

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

Uncertainty: The Soul of Modeling, Probability & Statistics

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

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

Data Analysis Using Regression and Multilevel/Hierarchical Models

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