Compiler and Varinfo docs #962
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trappmartin
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Nov 17, 2019
| The following terminology will be used in this section: | ||
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| - `D`: observed data variables conditioned upon in the posterior, | ||
| - `P`: parameter variables distributed according to the posterior distribution, these will also be referred to as random variables, |
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Maybe better: distributed according to some prior distribution
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Now that the compiler is being significantly simplified and changed in #965, I will add the updated docs there when ready. |
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This PR explains the internals of Turing in a way that I hope makes sense to a reader who is familiar with Bayesian inference and intermediate-level Julia. If some things are not clear, please let me know so I can put more effort into explaining them. Given the coming re-design of the compiler, some of these details may become obsolete but I will try to keep it updated with every compiler PR so that others can read through it while reviewing my PR.