posteriordb
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Database with posteriors of interest for Bayesian inference
Adds the arma11 model to port to pymc!
I followed the guide posted by @fonnesbeck [here](https://gist.github.com/fonnesbeck/a9a0b1624324ee2df30ff32c51e452a8), let me know if this is missing anything!
Rather than storing zipped JSON files, it would be nice to have the posteriors stored in a richer file format. Given the ubiquity of the ArviZ library and its compatibility...
Similar to PR #265 , this model here has no reference posterior draws or summary, so just including the code. Cheers!
This model has no reference posterior draws or summary, so just including the code
When using many posteriors in a paper it would be useful to have short names that can be used in plots, like in this example  And then include a...
One measure of how difficult a posterior is, is the number of dimensions, For example `posterior_database/posteriors/GLM_Poisson_Data-GLM_Poisson_model.json` reports "dimensions", ``` { "keywords": ["bpa book", "Poisson model"], "urls": "https://github.com/stan-dev/example-models/tree/master/BPA/Ch.03", "references": "kery2011population", "dimensions":...
Adding reference draws, summary statistics and info files for the following three posteriors: - Rate_1_data-Rate_1_model - Rate_3_data-Rate_3_model - dogs-dogs_hierarchical
Models: - dogs-dogs_log