These are chat archives for bayespy/bayespy

2nd
Apr 2016
Jaakko Luttinen
@jluttine
Apr 02 2016 06:12
@deebuls Depends a bit on what your background knowledge is. Bishop's Pattern Recognition and Machine Learning covers probabilistic modelling and variational Bayesian approximation to some extent: http://www.rmki.kfki.hu/~banmi/elte/Bishop%20-%20Pattern%20Recognition%20and%20Machine%20Learning.pdf
Gelman's Bayesian Data Analysis is a great book on Bayesian modelling. It doesn't cover VB at all, only MCMC methods, but the general modelling principles are the same, that is, how to construct your model etc: http://www.stat.columbia.edu/~gelman/book/
otherwise, i don't remember any particular sources now. perhaps, if you search for "bayesian hierarchical modelling" etc you'll find some useful sites