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贝叶斯推断

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贝叶斯推断（BAYESIAN INFERENCE）是一种应用于不确定性条件下的决策的统计方法。贝叶斯推断的显著特征是，为了得到一个统计结论能够利用先验信息和样本信息。

Bayesian Methods for Hackers
- http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/
天文笔记
- https://zhuanlan.zhihu.com/ligangastro?topic=%E8%B4%9D%E5%8F%B6%E6%96%AF%E6%A6%82%E7%8E%87
如何评价生成模型框架 ZhuSuan? - 知乎
- https://www.zhihu.com/question/59606929
Bayesian inference at the veterinarian
- http://brohrer.github.io/how_bayesian_inference_works.html
zhihu.com/lives
- https://www.zhihu.com/lives
深度学习（五十一）变分贝叶斯自编码器(上)
- https://zhuanlan.zhihu.com/p/25429082
Bayesian Inference | 1.2. Bayes’ Theorem, Example 2
- http://m-clark.github.io/docs/ld_mcmc/BayesianInference.pdf
如何看待NIPS2017图灵奖得主贝叶斯网络之父Judea Pearl...
- https://www.zhihu.com/question/263886044/answer/274144740
Beyes optimization - tracholar's personal knowledge wiki
- http://tracholar.github.io/wiki/machine-learning/beyes-opt.html
Kevin Chan's blog - 《Deep Learning...
- https://applenob.github.io/deep_learning_5
深入浅出朴素贝叶斯理论
- https://zhuanlan.zhihu.com/p/24602462
False Positive
- http://bayes-stat.github.io/download/largescale/%E7%96%BE%E7%97%85%E6%A3%80%E6%B5%8B%E4%B8%8E%E8%B4%9D%E5%8F%B6%E6%96%AF%E5%85%AC%E5%BC%8F.pdf
贝叶斯网络结构学习1 - 鱼头的技术小站
- https://lucius-yu.github.io/docs/probability/BNStructureLearning1/
【专栏干货】贝叶斯系列书籍汇总
- https://zhuanlan.zhihu.com/p/30197539
Bayesian Deep Learning
- http://twiecki.github.io/blog/2016/06/01/bayesian-deep-learning/
变分贝叶斯推断 | Amnesia's blog
- http://sinb.github.io/Whatyouknowabout/prob-infer/
Bayesian 初见
- https://seeeeeeven7.github.io/math/bayesian/2016/12/06/bayesian.html
动态贝叶斯网络怎么应用在自然语言生成？ - 知乎
- https://www.zhihu.com/question/46746637
如何简单易懂地理解变分推断(variational inference)？ - 知乎
- https://www.zhihu.com/question/41765860
darion.johannes.yaphet
- http://darionyaphet.github.io/2016/09/03/machine_learning/NaiveBayes/

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