# Free Workshop on Bayesian Statistics using Turing.jl
**URL:** https://discourse.julialang.org/t/free-workshop-on-bayesian-statistics-using-turing-jl/62571
**Category:** Probabilistic Programming
**Created:** [June 8, 2021, 9:55am UTC](https://discourse.julialang.org/t/free-workshop-on-bayesian-statistics-using-turing-jl/62571 "2021-06-08T09:55:46Z")
**Posts on this page:** 6
**Page:** 1
### Author:  [@Storopoli](https://discourse.julialang.org/u/Storopoli)
#### Post date: [June 8, 2021, 9:55am UTC](https://discourse.julialang.org/t/free-workshop-on-bayesian-statistics-using-turing-jl/62571/1 "2021-06-08T09:55:46Z")
I’ve got invited to give a workshop about Bayesian Inference using Julia and Turing.jl at Stuttgart Julia Programming Language Meetup.
Saturday 12th June.
The workshop will be using a Reactive Pluto notebook. The code can be found on [GitHub](https://github.com/storopoli/Turing-Workshop) and the [static notebook](https://storopoli.io/Turing-Workshop/).
You can download it run on your machine or run in the cloud (using binder) by clicking on “edit or run this notebook” and them on “binder”.
Also note that the workshop are based on a set of Bayesian Statistics using Turing tutorials that can be found here: [https://storopoli.io/Bayesian-Julia/](https://storopoli.io/Bayesian-Julia/)
How to attend here: [Login to Meetup | Meetup](https://www.meetup.com/stuttgart-julia-programming-language-meetup-gruppe/events/278545048/)
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### Author:  [@Storopoli](https://discourse.julialang.org/u/Storopoli)
#### Post date: [June 8, 2021, 11:34am UTC](https://discourse.julialang.org/t/free-workshop-on-bayesian-statistics-using-turing-jl/62571/2 "2021-06-08T11:34:51Z")
There is a lot of attendees that would be way more experienced guide to Turing than me 😂🙄
I also just noticed that one of the people that I cite (Liza Semenova) in the Notebook will be attending also.
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### Author:  [@Storopoli](https://discourse.julialang.org/u/Storopoli)
#### Post date: [June 12, 2021, 8:20pm UTC](https://discourse.julialang.org/t/free-workshop-on-bayesian-statistics-using-turing-jl/62571/3 "2021-06-12T20:20:22Z")
I’ve uploaded the video to YouTube with timestamps for the topics covered: [Bayesian Statistics using Turing.jl and Julia Language - YouTube](https://youtu.be/CKSxxJ7RdAU)
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### Author:  [@EvoArt](https://discourse.julialang.org/u/EvoArt)
#### Post date: [June 15, 2021, 5:12am UTC](https://discourse.julialang.org/t/free-workshop-on-bayesian-statistics-using-turing-jl/62571/4 "2021-06-15T05:12:15Z")
Thanks!
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### Author:  [@EvoArt](https://discourse.julialang.org/u/EvoArt)
#### Post date: [June 15, 2021, 5:23am UTC](https://discourse.julialang.org/t/free-workshop-on-bayesian-statistics-using-turing-jl/62571/5 "2021-06-15T05:23:16Z")
I just learned that a hidden Markov model is the name of the thing I was trying to reinvent. And now I know how to do it properly!
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### Author:  [@Storopoli](https://discourse.julialang.org/u/Storopoli)
#### Post date: [June 15, 2021, 8:11am UTC](https://discourse.julialang.org/t/free-workshop-on-bayesian-statistics-using-turing-jl/62571/6 "2021-06-15T08:11:38Z")
Just note that the marginalization with NUTS is much more efficient than the composite sampler that I’ve made. You can find the Stan model converted to Turing here: [TuringExamples/turing.jl at master · TuringLang/TuringExamples · GitHub](https://github.com/TuringLang/TuringExamples/blob/master/benchmarks/hmm_semisup/turing.jl)