Probability & Statistics - ua-data7/LearningResources GitHub Wiki
A list of some available resources.
- Advanced Data Analysis from an Elementary Point of View. Cosma Rohilla Shalizi.
- An Introduction to Statistical Learning. Gareth James, Daniela Witten, Trevor Hastie, and Rob Tibshirani.
- A User's Guide to Statistical Inference and Regression. Matthew Blackwell.
- Bayesian Methods for Hackers. Cameron Davidson-Pilson.
- Bayesian Optimization. Roman Garnett.
- Bayesian Statistics using Julia and Turing. José Eduardo Storopoli.
- Bayesian Statistics with R. PYOFLIFE.
- Beyond Multiple Linear Regression. Applied Generalized Linear Models and Multilevel Models in R. Paul Roback and Julie Legler.
- Biostatistics. University of Florida Open Learning Textbook.
- Computer Age Statistical Inference. Algorithms, Evidence, and Data Science. Bradley Efron, Trevor Hastie.
- Elements of Statistical Learning. Data Mining, Inference, and Prediction.Trevor Hastie, Robert Tibshirani, Jerome Friedman.
- Forecasting: Principles and Practice (2nd ed). Rob J Hyndman and George Athanasopoulos. OTexts: Melbourne, Australia.
- Forecasting in Economics, Business, Finance, and Beyond. Francis X. Diebold. The University of Pennsylvania.
- Handbook on Statistical Distributions for Experimentalists. Christian Walck, University of Stockholm.
- Introduction to Mathematical Statistics, 8 ed.. Rober V. Hogg, Joseph W. McKean, Allen T. Craig.
- Introduction to Modern Statistics, 2nd. Ed. | 1st. Ed.. Mine Çetinkaya-Rundel and Johanna Hardin, OpenIntro.org
- Introduction to Probability for Computing. Mor Harchol-Balter.
- Introduction to Probability for Data Science. Stanley H. Chan.
- Introduction to Probability, 2ed. Joseph K. Blitzstein, Jessica Hwang.
- Modern Statistics for Modern Biology. Susan Holmes, Wolfang Huber.
- Modern Statistics with R. Mans Thulin.
- Practical Statistics for Data Scientists. Peter Bruce, Andrew Bruce, and Peter Gedeck.
- Practical Statistics in Medicine with R. Konstantinos I. Bougioukas.
- Probability and Statistics for Data Science. Carlos Fernandez-Granda.
- Regression and Other Stories by Andrew Gelman, Jennifer Hill, and Aki Vehtari.
- Think Bayes 2nd. Ed. , Allen B. Downey.
Other
- Probability Cheat Sheet
- Probability and Statistics Cheat Sheets
- Seeing Theory: A visual introduction to Probability and Statistics
- StatQuest. Bite-sized pieces of Machine Learning and Statistics concepts.
- Understanding Probability Distributions using Python | Jupyter Notebook. Reza Bagheri.
Updated: 07/08/2025 (C. Lizárraga)