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docs/src/assets/map_combinator.png

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docs/src/assets/rjmcmc.png

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docs/src/assets/static_graph.png

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docs/src/ref/inference/mcmc.md

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```
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We can then compare the results to the results from the Markov chain that used the selection-based structure-changing kernel:
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![rjmcmc plot](../../assets/rjmcmc.png)
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![rjmcmc plot](../../../assets/rjmcmc.png)
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We see that if we initialize the Markov chains from the same state with a single mean (`:z` is `false`) then the selection-based kernel fails to accept any moves to the two-mean structure within 100 iterations, whereas the split-merge kernel transitions back and forth many times,
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If we repeated the selection-based kernel for enough iterations, it would eventually transition back and forth at the same rate as the split-merge.

docs/src/ref/modeling/combinators.md

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In the schematic below, the kernel is denoted ``\mathcal{G}_{\mathrm{k}}``.
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```@raw html
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<div style="text-align:center">
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<img src="../../assets/map_combinator.png" alt="schematic of map combinator" width="50%"/>
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<img src="../../../assets/map_combinator.png" alt="schematic of map combinator" width="50%"/>
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</div>
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```
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The initial state is denoted ``y_0``, the number of applications is ``n``, and the remaining arguments to the kernel not including the state, are ``z``.
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```@raw html
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<div style="text-align:center">
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<img src="../../assets/unfold_combinator.png" alt="schematic of unfold combinator" width="70%"/>
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<img src="../../../assets/unfold_combinator.png" alt="schematic of unfold combinator" width="70%"/>
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</div>
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```
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```@raw html
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<div style="text-align:center">
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<img src="../../assets/recurse_combinator.png" alt="schematic of recurse combinatokr" width="70%"/>
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<img src="../../../assets/recurse_combinator.png" alt="schematic of recurse combinatokr" width="70%"/>
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</div>
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```
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## Switch combinator
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```@raw html
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<div style="text-align:center">
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<img src="../../assets/switch_combinator.png" alt="schematic of switch combinator" width="100%"/>
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<img src="../../../assets/switch_combinator.png" alt="schematic of switch combinator" width="100%"/>
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</div>
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```
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docs/src/tutorials/scaling_with_sml.md

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```@raw html
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<div style="text-align:center">
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<img src="../../../assets/scaling_with_sml_graph.png" alt="static dependency graph" width="100%"/>
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<img src="../../assets/scaling_with_sml_graph.png" alt="static dependency graph" width="100%"/>
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</div>
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```
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