The best probability textbooks, according to hackers
5 probability textbooks recommended in Hacker News comments over the past year, ranked by how many separate people recommend each one.
All probability textbooks
- Statistical Rethinking by Richard McElreathRecommended as an accessible, practical Bayesian statistics introduction and causal modeling reference. Critics say it assumes existing statistics proficiency and reads as written to impress professors.10recommend
- Think Bayes by Allen DowneyPeople recommend it as a good starting point for Bayesian statistics, and some readers enjoyed it as part of the Think series of books.4recommend
- Probability Theory: The Logic of Science by JaynesPeople recommend it for making probability and statistics finally make sense, with deeply significant foundations. The beginning parts are seen as not practically useful.3recommend
- The Elements of Statistical Learning by Hastie, Tibshirani and FriedmanRecommended as the machine learning bible, a well-known reference first published in 2001.3recommend
- Introduction to Probability by Blitzstein and HwangRecommended by a few readers as a probability text that fits what they were looking for, with one calling it a notable exception.3recommend