bayesian_data_analysis 读书笔记

最近开始打算系统学习一波 bayesian, 先读一下大名鼎鼎的 Bayesian data analysis

Gelman的 77 条梗, 但愿读完这本书能懂

demo_code_in_python

Part I: Fundamentals of Bayesian Inference

Chapter 1: probability and inference

  • $\text{var}(u)= \text{E}(\text{var}(u|v))+\text{var}(\text{E}(u|v))$ 如何理解?

  • 常见映射

    | Name | from | to |
    | ———– | —————- | ——————— |
    | log | $(0, + \infty )$ | $(-\infty, +\infty )$ |
    | logit | (0, 1) | $(-\infty, +\infty )$ |
    | $\Phi^{-1}$ | (0,1) | $(-\infty, +\infty )$ |
    | | | |


Chapter 2: single-parameter models



王礼萍 原创

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