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@@ -20,7 +20,7 @@ DynamicPPL is the part of Turing.jl that deals with defining, running, and manip
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- A rich contextual dispatch system allowing for tailored behaviour during model execution.
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- A user-friendly syntax for probabilistic queries.
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Information on how to use the DynamicPPL frontend to build Bayesian models can be found on the [Turing website](https://turing.ml/). Tutorials explaining how to use the backend can be found [alongside the documentation](https://turinglang.github.io/DynamicPPL.jl/stable/). More information can be found in our paper [DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models](https://arxiv.org/pdf/2002.02702.pdf).
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Information on how to use the DynamicPPL frontend to build Bayesian models can be found on the [Turing website](https://turinglang.org/). Tutorials explaining how to use the backend can be found [alongside the documentation](https://turinglang.github.io/DynamicPPL.jl/stable/). More information can be found in our paper [DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models](https://arxiv.org/pdf/2002.02702.pdf).
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