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Update examples.md
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baggepinnen authored Nov 6, 2023
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Expand Up @@ -128,8 +128,7 @@ MonteCarloMeasurements.:∓ 25.115 ms (25788 allocations: 24.68 MiB) # 100
MonteCarloMeasurements.:± 345.730 ms (696212 allocations: 838.50 MiB) # 500 Particles
```

# MCMC inference using Soss.jl or Turing.jl
The probabilistic programming language [Soss.jl](https://github.com/cscherrer/Soss.jl) has native support for converting the inference result to `Particles` for further processing, see the Soss readme for further instruction.
# MCMC inference using Turing.jl

[Turing.jl](https://github.com/TuringLang/Turing.jl/) is another probabilistic programming language, and an interface between Turing and MonteCarloMeasurements is provided by
[Turing.jl](https://github.com/TuringLang/Turing.jl/) is a probabilistic programming language, and an interface between Turing and MonteCarloMeasurements is provided by
[Turing2MonteCarloMeasurements.jl](https://github.com/baggepinnen/Turing2MonteCarloMeasurements.jl) with instructions and examples in the readme.

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