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Probability & Statistics
A list of some available resources.
- An Introduction to Statistical Learning. Gareth James, Daniela Witten, Trevor Hastie and Rob Tibshirani.
- Bayesian Optimization. Roman Garnett.
- Bayesian Statistics using Julia and Turing. José Eduardo Storopoli.
- Biostatistics. University of Florida Open Learning Textbook.
- [Handbook on Statistical Distributions for Experimentalists] (http://www.stat.rice.edu/~dobelman/textfiles/DistributionsHandbook.pdf). Christian Walck, University of Stockholm.
- Introduction to Mathematical Statistics, 8 ed.. Rober V. Hogg, Joseph W. McKean, Allen T. Craig.
- Introduction to Modern Statistics. Mine Çetinkaya-Rundel and Johanna Hardin, OpenIntro.org
- Introduction to Probability for Data Science. Stanley H. Chan.
- Introduction to Probability, 2ed. Joseph K. Blitzstein, Jessica Hwang.
- Modern Statistics with R. Mans Thulin.
- Practical Statistics for Data Scientists. Peter Bruce, Andrew Bruce, and Peter Gedeck.
- Regression and Other Stories by Andrew Gelman, Jennifer Hill, and Aki Vehtari.
- Think Bayes 2nd. Ed. , Allen B. Downey.
Updated: 03/07/2022 (C. Lizarraga)
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Carlos Lizárraga, UArizona Data Lab, Data Science Institute, University of Arizona, 2025.
