# Learning Bayesian data analysis using Julia

**URL:** <https://discourse.julialang.org/t/learning-bayesian-data-analysis-using-julia/5370>\
**Category:** Statistics\
**Created:** [August 14, 2017, 6:14am UTC](https://discourse.julialang.org/t/learning-bayesian-data-analysis-using-julia/5370 "2017-08-14T06:14:15Z")\
**Posts on this page:** 3\
**Page:** 2

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**Author:** ![trappmartin](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/trappmartin/32/1165_2.png) [@trappmartin](https://discourse.julialang.org/u/trappmartin)\
**Post date:** [October 9, 2018, 8:06am UTC](https://discourse.julialang.org/t/learning-bayesian-data-analysis-using-julia/5370/22 "2018-10-09T08:06:51Z")

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Yes, there will be black-box VI in the near future. Using Flux in the model construction is already supported and I think we already have a tutorial on this. If not it will be out soon.

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**Author:** ![Kai\_Xu](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/kai_xu/32/10187_2.png) [@Kai\_Xu](https://discourse.julialang.org/u/Kai_Xu)\
**Post date:** [October 9, 2018, 12:53pm UTC](https://discourse.julialang.org/t/learning-bayesian-data-analysis-using-julia/5370/23 "2018-10-09T12:53:53Z")

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> deep bayesian models with flux.jl

This is a simple Bayesian neural network implemented using Flux.jl + Turing.jl: [https://github.com/TuringLang/TuringTutorials/blob/master/old-notebooks/BayesNN.ipynb](https://github.com/TuringLang/TuringTutorials/blob/master/old-notebooks/BayesNN.ipynb)

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**Author:** ![SimonW](https://avatars.discourse-cdn.com/v4/letter/s/34f0e0/32.png) [@SimonW](https://discourse.julialang.org/u/SimonW)\
**Post date:** [October 16, 2018, 1:38pm UTC](https://discourse.julialang.org/t/learning-bayesian-data-analysis-using-julia/5370/24 "2018-10-16T13:38:49Z")

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Thank you. That is an excellent tutorial!

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