http://download.csdn.net/download/wz619899442/8405297
Books
The course is mostly self-contained, but reading a textbook will help you with your understanding.
Required:
- Bayesian Methods for Hackers by Cameron Davidson-Pilon. Scroll down to the PyMC3 part in the README.
Highly Recommended
- Statistical Rethinking: A Bayesian Course with Examples in R and Stan by Richard McElreath.
- Bayesian Data Analysis, by Andrew Gelman, John Carlin, Hal Stern, David Dunson, Aki Vehtari, and Donald Rubin. 3rd Edition.
We will not be using R or Stan, but the principles remain the same.
Other useful books and sources
Still to come
Papers and other re
Elements of Information Theory 2nd Edition
http://coltech.vnu.edu.vn/~thainp/books/Wiley_-_2006_-_Elements_of_Information_Theory_2nd_Ed.pdf
https://mitpress.mit.edu/sicp/full-text/book/book-Z-H-4.html#%_toc_start
线性模型和广义线性模型(第3版)(英文) 平装 – 2015年1月1日
https://www.amazon.cn/gp/product/B00VSPTTXK/ref=ox_sc_sfl_title_4?ie=UTF8&psc=1&smid=A1AJ19PSB66TGU
矩阵代数(英文) (英语) 平装 – 2017年7月1日
凸优化(英文) 平装 – 2013年10月1日
鲍迪 (Stephen Boyd) (作者)