If you know how to program with Python and also know a little about probability, you’re ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical notation, and use discrete probability distributions instead of continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer, and you’ll begin to apply these techniques to real-world problems.
Bayesian statistical methods are becoming more common and more important, but not many resources are available to help beginners. Based on undergraduate classes taught by author Allen Downey, this book’s computational approach helps you get a solid start.
Use your existing programming skills to learn and understand Bayesian statistics
Work with problems involving estimation, prediction, decision analysis, evidence, and hypothesis testing
Get started with simple examples, using coins, M&Ms, Dungeons & Dragons dice, paintball, and hockey
Learn computational methods for solving real-world problems, such as interpreting SAT scores, simulating kidney tumors, and modeling the human microbiome.
0 有用 momo 2020-05-23 22:07:08
前半部分还不错
0 有用 隔壁的云君 2015-05-10 22:24:19
有意思,最近一直在读。就是时间少了点。想和大家交流一下心得
0 有用 kula 2018-06-11 22:06:16
近期最好读物
0 有用 李梓阳 2015-09-27 17:39:26
最后一章实在看不下去了,对具体的模型没有了解,思维方式倒是熟悉了
0 有用 坚强的坚果 2026-05-10 12:23:18 浙江
good book,最后几章没看