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<li><p><ahref="https://turinglang.org/AbstractMCMC.jl/">AbstractMCMC.jl</a>: Abstract types and interfaces for Markov chain Monte Carlo methods. This defines an interface for sampling and combining Markov chains.</p></li>
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<li><p><ahref="https://github.com/theogf/ThermodynamicIntegration.jl">ThermodynamicIntegration.jl</a>: A simple package to compute Thermodynamic Integration for computing the evidence in a Bayesian setting.</p></li>
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<li><p><ahref="https://turinglang.org/AdvancedPS.jl/">AdvancedPS.jl</a>: This is a lightweight package that implements particle-based Monte Carlo algorithms for the <ahref="https://turinglang.org/">Turing</a> ecosystem.</p></li>
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<li><p><ahref="https://turinglang.org/SliceSampling.jl">SliceSampling.jl</a>: This package is a collection of slice sampling algorithms including the univariate slice samplers by <ahref="https://arxiv.org/abs/physics/0009028">Neal (2003)</a>.</p></li>
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<li><p><ahref="https://turinglang.org/EllipticalSliceSampling.jl/">EllipticalSliceSampling.jl</a>: This package implements elliptical slice sampling in the Julia language, as described in <ahref="http://proceedings.mlr.press/v9/murray10a/murray10a.pdf">Murray, Adams & MacKay (2010)</a>.</p></li>
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<li><p><ahref="https://turinglang.org/NestedSamplers.jl/">NestedSamplers.jl</a>: A Julian implementation of single- and multi-ellipsoidal nested sampling algorithms using the <ahref="https://github.com/turinglang/abstractmcmc.jl">AbstractMCMC</a> interface.</p></li>
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