# New Bayesian Statistics tutorials with Turing

**URL:** <https://discourse.julialang.org/t/new-bayesian-statistics-tutorials-with-turing/60825>\
**Category:** Probabilistic Programming\
**Tags:** turing\
**Created:** [May 9, 2021, 2:02pm UTC](https://discourse.julialang.org/t/new-bayesian-statistics-tutorials-with-turing/60825 "2021-05-09T14:02:01Z")\
**Posts on this page:** 1\
**Showing post:** 16

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**Author:** ![sree\_datta](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/sree_datta/32/32723_2.png) [@sree\_datta](https://discourse.julialang.org/u/sree_datta)\
**Post date:** [June 29, 2022, 9:21pm UTC](https://discourse.julialang.org/t/new-bayesian-statistics-tutorials-with-turing/60825/16 "2022-06-29T21:21:06Z")

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Hi @Storopoli I a new user of Turing and Julia for Bayesian modeling. I was trying to replicate a basic Linear Regression model in your GitHub link (Children’s IQ Score example). I could replicate the model but could not plot the posterior results / trace using `StatsPlots`.

When I type `using StatsPlots` and try to run in the Jupyter Notebook it gives errors stating that one of StatsPlots dependencies `Arpack` has not been installed correctly. See this link (I posted this under New To Julia) [Arpack error with StatsPlots](https://discourse.julialang.org/t/arpack-error-when-trying-to-use-statsplots-in-a-bayesian-linear-regression-example/83493)

Any pointers in this regard? I’m coming from R and Python based Bayesian Models using `brms and rstan` as well as `pymc`. Are there any alternatives to `StatsPlots` that would allow me to plot the Bayesian model results?

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