Thursday, July 23, 2020 • edited Saturday, April 29, 2023

I have tried to avoid including any books that are available without permission from the authors or publishers.

Books by John Marder, (Department of Statistics, University of Illinois)

Statistical learning books by Trevor Hastie, Robert Tibshirani, and others

Introductory: An Introduction to Statistical Learning with Applications in R by Gareth James, Daniela Witten, and TH & RT
NOTE: The website for this book indicates that a Python version will be published in summer 2023. Jonathan Taylor is a new co-author of that version.
Advanced: The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd ed (PDF) by Jerome Friedman and TH & RT

Books by Hadley Wickham (RStudio) and others

bookdown is an R-package, and most of the books written with bookdown are R-related.

Search across your past Websets

Articles: books on Mathematical Statistics, classic to recent