As far as I can think right now (not very far), there are two things you
typically want to do once you have a model and done some inference:
[Read More]
This post is mainly some notes about linear algebra, the cholesky decomposition,
and a way of parametrising the multivariate normal which might be more efficient
in some cases. In general it is best to use existing implementations of stuff
like this - this post is just a learning exercise.
[Read More]
In a previous post I had a look at using pyro but found myself writing a lot more code just to have a look at the inference than to actually perform it. Fortunately, one of the arviz developers commented on the post and let me know that arviz would have...
[Read More]