bayesian-stats-modelling-tutorial
                                
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                        How to do Bayesian statistical modelling using numpy and PyMC3
hey @ericmjl do you know any easy-ish way to create a colab for this repo? Ideally, without needing to use google drive or anything like that? e.g. for a single...
:wave: @ericmjl (cc @hugobowne as Eric is busy for good reason — congrats Eric!) would you be open to having the CI get revamped so that it is working again...
This PR partially reverts things I did in PR #85. To make it easier for users who are not used to binder but maybe used to typical Conda workflows, add...
updates: - [github.com/pre-commit/pre-commit-hooks: v2.4.0 → v4.0.1](https://github.com/pre-commit/pre-commit-hooks/compare/v2.4.0...v4.0.1) - [github.com/kynan/nbstripout: master → 0.5.0](https://github.com/kynan/nbstripout/compare/master...0.5.0) - [github.com/psf/black: stable → 21.7b0](https://github.com/psf/black/compare/stable...21.7b0)
@ericmjl as discussed in #97. These NBs run programmatically but there's the small issue of data access: I think I need to mimic something you did and use some utility...
@ericmjl Today we discussed steps for an html version of tutorial: * add notebooks to subdir of /docs * make sure they execute programmatically: can do this manually by making...
Both @ericmjl and I are firm believers that Probabilistic Programming has a bright and huge future. I know other people believe the same. @springcoil has said toe me previously that...
How would we extract the posterior distribution information from a theano.tensor.var.TensorVariable to numpy arrays? Current method makes it hard to utilize this information to be part of a bigger code...
how do you like to describe HPD @ericmjl @justinbois @betanalpha ?