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Bayesian-Project😕

standard-readme compliant

内容列表😮

当前问题

  1. 不明白怎么对$j$求积。Appendix中MCMC第一步,第一项是对$j$求积,但是之前公式中是对$i$。($i$是sample,$j$是feature) $$ \prod_{j:\gamma_j=0}p(x_{j(\gamma^c)}|\gamma^N) $$ $$ x_{i(\gamma^c)}|\cdot\sim N(0,\Omega_{(\gamma^c)}) $$

(已解决,各$\mathbf{x}_j$独立)

  1. 两个$\Sigma_{k(\gamma)}$是一样的吗? $$ \beta_{rk(\gamma)}\sim (1-\delta_{rk})I_0(\beta_{rk(\gamma)})+\delta_{rk}N(b_{0k(\gamma)},h\Sigma_{k(\gamma)}) $$ $$ x_{i(\gamma)}|g_i=k,\cdot\sim N(\mu_{k(\gamma)},\Sigma_{k(\gamma)}) $$

  2. 找不到$\mu_{(\gamma^c)}$的定义。 $$ p(\mu_{0jk(\gamma^c)}|\gamma^N) $$

内容 🌝

  • Report文件夹内是本次Project的报告文件,包含tex和pdf等。
  • *.py文件是python代码。(未来可能迁移到R)

使用许可

MIT © YX & FLH

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This is our project for the course "Introduction to Bayesian Statistics"

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