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1.4 全概率定理和贝叶斯准则

1.4 全概率定理和贝叶斯准则#

全概率定理#

A1,A2,,AnA_1, A_2, \dots, A_n 是样本空间的分割,且 P(Ai)>0P(A_i) > 0,则: P(B)=i=1nP(Ai)P(BAi)P(B) = \sum_{i=1}^n P(A_i)P(B \mid A_i)

贝叶斯准则#

在相同条件下,若 P(B)>0P(B) > 0,则: P(AiB)=P(Ai)P(BAi)j=1nP(Aj)P(BAj)P(A_i \mid B) = \frac{P(A_i)P(B \mid A_i)}{\sum_{j=1}^n P(A_j)P(B \mid A_j)}

因果推理#

  • 先验概率P(Ai)P(A_i)
  • 后验概率P(AiB)P(A_i \mid B)
1.4 全概率定理和贝叶斯准则
https://miku.nikonikoni.blog/posts/propability_theory/1-4-law-of-total-probability-and-bayes-theorem/
Author
nikonikoni
Published at
2025-11-26
License
Unlicensed

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