# \#probablistic

**URL:** https://discourse.julialang.org/tag/probablistic/1633.md

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## [Stan.jl v10.8.4 Released](https://discourse.julialang.org/t/stan-jl-v10-8-4-released/136904)

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**Author:** [@bparbhu](https://discourse.julialang.org/u/bparbhu)\
**Replies:** 3\
**Last updated:** [April 28, 2026, 11:58pm UTC](https://discourse.julialang.org/t/stan-jl-v10-8-4-released/136904 "2026-04-28T23:58:17Z")

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Stan.jl v10.8.4 Released — CmdStan 2.37 Support and Ecosystem Refresh We’re happy to announce the release of Stan.jl v10.8.4. This release brings the Stan.jl ecosystem to CmdStan 2.37, giving the Julia community access …

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## [ONNX Probabilistic Programming Working Group – Collaboration with the Julia PPL Ecosystem (Turing.jl / RxInfer.jl)](https://discourse.julialang.org/t/onnx-probabilistic-programming-working-group-collaboration-with-the-julia-ppl-ecosystem-turing-jl-rxinfer-jl/136087)

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**Author:** [@bparbhu](https://discourse.julialang.org/u/bparbhu)\
**Replies:** 0\
**Last updated:** [March 7, 2026, 8:10pm UTC](https://discourse.julialang.org/t/onnx-probabilistic-programming-working-group-collaboration-with-the-julia-ppl-ecosystem-turing-jl-rxinfer-jl/136087 "2026-03-07T20:10:10Z")

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Hi everyone, I wanted to share that the ONNX Probabilistic Programming Working Group has recently been formed and invite participation from the Julia probabilistic programming community—particularly developers and users…

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## [Fastest way to sample from MVN, changing parameters](https://discourse.julialang.org/t/fastest-way-to-sample-from-mvn-changing-parameters/128145)

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**Author:** [@Daniel\_Johansson](https://discourse.julialang.org/u/Daniel_Johansson)\
**Replies:** 7\
**Last updated:** [May 3, 2025, 4:11pm UTC](https://discourse.julialang.org/t/fastest-way-to-sample-from-mvn-changing-parameters/128145 "2025-05-03T16:11:23Z")

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Hey guys! Does anybody know what is the most efficient way of sampling from a multivariate normal distribution whose parameters are constantly updated. I’m constructing a Gibbs sampler for a MVN whose parameters depend …

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## [Distributions.jl: how to create a mixture of a scaled Beta distribution?](https://discourse.julialang.org/t/distributions-jl-how-to-create-a-mixture-of-a-scaled-beta-distribution/117062)

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**Author:** [@DominiqueMakowski](https://discourse.julialang.org/u/DominiqueMakowski)\
**Replies:** 2\
**Last updated:** [July 15, 2024, 8:20pm UTC](https://discourse.julialang.org/t/distributions-jl-how-to-create-a-mixture-of-a-scaled-beta-distribution/117062 "2024-07-15T20:20:43Z")

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Defining a mixture of 2 Beta distributions works as one would expect: using Distributions, GLMakie LocationScale(0.5, 1, Beta(1, 1)) d = MixtureModel( Beta\[ Beta(1, 1), Beta(2, 10)\], \[0.5, 0.5\]) xa…