# Bayesian Design of Experiment in Julia

**URL:** <https://discourse.julialang.org/t/bayesian-design-of-experiment-in-julia/106372>\
**Category:** Statistics\
**Created:** [November 17, 2023, 5:04pm UTC](https://discourse.julialang.org/t/bayesian-design-of-experiment-in-julia/106372 "2023-11-17T17:04:14Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![Dreycen\_Foiles](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/dreycen_foiles/32/44744_2.png) [@Dreycen\_Foiles](https://discourse.julialang.org/u/Dreycen_Foiles)\
**Post date:** [November 17, 2023, 5:04pm UTC](https://discourse.julialang.org/t/bayesian-design-of-experiment-in-julia/106372/1 "2023-11-17T17:04:14Z")

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I’m learning more about [Bayesian experimental design](https://en.wikipedia.org/wiki/Bayesian_experimental_design) and I’d be interested to know if anyone has experience doing something like this in Julia. Specifically, I’m looking for anything like this [Pyro tutorial on an adapative experimental design](https://pyro.ai/examples/working_memory.html).

I saw that there was [Kirstine.jl](https://github.com/lsandig/Kirstine.jl) but looking through the documentation, I don’t think it’s what I’m looking for because I’m more interested in sequential design. However, I admit that I understand very little of said documentation and I could be missing something.

If there isn’t an existing framework for this, would it be possible to write my own with one of the Julia PPL’s like Turing.jl?

Thank you all for your time.

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**Author:** ![marcpabst](https://avatars.discourse-cdn.com/v4/letter/m/4bbf92/32.png) [@marcpabst](https://discourse.julialang.org/u/marcpabst)\
**Post date:** [March 22, 2024, 1:00pm UTC](https://discourse.julialang.org/t/bayesian-design-of-experiment-in-julia/106372/2 "2024-03-22T13:00:22Z")

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I haven’t tried this, but just from looking through the Pyro tutorial, I would say this should be possible to implement in Turing.jl without problems.