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arXiv 1601.02593math.CTmath.PR
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基于对称Monoidal闭范畴结构的贝叶斯推理

Bayesian Inference using the Symmetric Monoidal Closed Category Structure

Kirk Sturtz

摘要:

利用可测空间范畴的对称monoidal闭范畴结构,结合我们证明是强monad的Giry monad,我们分析了与张量积概率有关的贝叶斯推理映射及其构造.这种观点允许推理映射被看作是一个拉回构造。

英文摘要:

Using the symmetric monoidal closed category structure of the category of measurable spaces, in conjunction with the Giry monad which we show is a strong monad, we analyze Bayesian inference maps and their construction in relation to the tensor product probability. This perspective permits the inference maps to be seen as a pullback construction.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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