I am working on a simplest complex example to record my learning journey here. ericmjl/bayesian-analysis-recipes/blob/master/mixture-model.ipynb { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Gaussian Mixtures\n", "\n", "Sometimes, our data lo…

The correct syntax is changing: components = pm.Poisson('components', mu=lam, shape=(2,)) to components = pm.Poisson.dist(mu=lam, shape=(2,)) Also, careful of label switching in this case. More information see https://gist.github.com/junpenglao/4d65d1a9bf80e8d371446fadda9deb7a

Is there an example on how to work with generalized mixture models?

Questions

fabianmoss March 14, 2019, 3:05pm 11

If I replace n with a constant value in pm.Binomial.dist I don’t get a NaN value for mixture.

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Is there an example on how to work with generalized mixture models?

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