# Case study: Speeding up a logistic regression with RHS prior (Turing vs Numpyro) - any tricks I'm missing?

**URL:** <https://discourse.julialang.org/t/case-study-speeding-up-a-logistic-regression-with-rhs-prior-turing-vs-numpyro-any-tricks-im-missing/87681>\
**Category:** Probabilistic Programming\
**Created:** [September 23, 2022, 2:03am UTC](https://discourse.julialang.org/t/case-study-speeding-up-a-logistic-regression-with-rhs-prior-turing-vs-numpyro-any-tricks-im-missing/87681 "2022-09-23T02:03:06Z")\
**Posts on this page:** 1\
**Showing post:** 25

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**Author:** ![svilupp](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/svilupp/32/34933_2.png) [@svilupp](https://discourse.julialang.org/u/svilupp)\
**Post date:** [October 3, 2022, 2:00pm UTC](https://discourse.julialang.org/t/case-study-speeding-up-a-logistic-regression-with-rhs-prior-turing-vs-numpyro-any-tricks-im-missing/87681/25 "2022-10-03T14:00:46Z")

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> [@cscherrer](#):
>
> Tilde dev here. I don’t use Turing much. How is this harder in Turing?

I’m probably not the most qualified person to answer this, but I think it’s well described [here](https://discourse.julialang.org/t/singular-exception-with-lkjcholesky/85020), because the Slack conversation has disappeared.  
My take is that it’s possible thanks to amazing @sethaxen and his snippet (see the link above), but it’s non-trivial (because Bijectors require the same dimensions, so we need to use TransformedVariables.jl and go to a lower-level)

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