Dirichlet mixture of multinomials example (#18)

* Add a simple simulated-data example for DM distribution. * Update DM example to conform to style-guide. * Use InferenceData object for both posterior and ppc data storage. * Update notebook workflow with new PPC code and null (multinomial) model. * Big update to DM example text. * Incorporate suggestions from @AlexAndorra, @ricardoV94, and @MarcoGorelli. * Drop unused imports. * Additional revisions suggested by @ricardoV94 * Clean up syntax of (dirichlet)multinomial explanation. * More consistent variable names across simulation, models, text. * Even fancier PPC plots. * Additional minor revisions, TODOs. * Revisions, also use forest-plots to examine accuracy of inferences. * Fix some text and figures. * Re-emphasize issues when NUTS fails.
pymc-devs · Jan 27, 2021 · 65463ba · 65463ba
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diff --git a/examples/mixture_models/dirichlet_mixture_of_multinomials.ipynb b/examples/mixture_models/dirichlet_mixture_of_multinomials.ipynb
diff --git a/examples/table_of_contents_examples.js b/examples/table_of_contents_examples.js
@@ -39,6 +39,7 @@ Gallery.contents = {
     "variational_inference/gaussian-mixture-model-advi": "Mixture Models",
     "mixture_models/gaussian_mixture_model": "Mixture Models",
     "mixture_models/marginalized_gaussian_mixture_model": "Mixture Models",
+    "mixture_models/dirichlet_mixture_of_multinomials": "Mixture Models",
     "samplers/SMC2_gaussians": "Simulation-based Inference",
     "samplers/SMC-ABC_Lotka-Volterra_example": "Simulation-based Inference",
     "survival_analysis/bayes_param_survival_pymc3": "Survival Analysis",