Think Bayes
Book •
Think Bayes is an introduction to Bayesian statistics using computational methods.
It focuses on practical examples and uses Python code to implement Bayesian analysis.
The book covers topics such as probability, distributions, hypothesis testing, and parameter estimation.
It emphasizes a hands-on approach, teaching readers how to solve real-world problems using Bayesian techniques.
Think Bayes is suitable for students and professionals who want to learn Bayesian statistics with a focus on computation and application.
It focuses on practical examples and uses Python code to implement Bayesian analysis.
The book covers topics such as probability, distributions, hypothesis testing, and parameter estimation.
It emphasizes a hands-on approach, teaching readers how to solve real-world problems using Bayesian techniques.
Think Bayes is suitable for students and professionals who want to learn Bayesian statistics with a focus on computation and application.
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Mentioned as one of the other books written by Alan Downey.
Allen B. Downey, "Probably Overthinking It: How to Use Data to Answer Questions, Avoid Statistical Traps, and Make Better Decisions" (U Chicago Press, 2023)
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Gregory McNiff
Allen B. Downey, "Probably Overthinking It: How to Use Data to Answer Questions, Avoid Statistical Traps, and Make Better Decisions" (U Chicago Press, 2023)
