Slides for my Talk at PyConDE/PyData Berlin 2019 https://de.pycon.org/program/pydata-rrlryg-a-bayesian-workflow-with-pymc-and-arviz-corrie-bartelheimer/
Resources:
Richard McElreath "Statistical Rethinking": https://xcelab.net/rm/statistical-rethinking/
Statistical Rethinking Port to PyMC3: https://github.com/pymc-devs/resources/tree/master/Rethinking
Prior Recommendation by Stan Team: https://github.com/stan-dev/stan/wiki/Prior-Choice-Recommendations
Michael Betancourt Case Studies: https://betanalpha.github.io/writing/
Berlin Bayesian Meetup Group: https://www.meetup.com/de-DE/BerlinBayesians/
Code and Notebook:
https://github.com/corriebar/Bayesian-Workflow-with-PyMC
60. What’s next?
● Iterate!
● More predictors!
○ Year of construction
○ House type
○ ...
● More hierarchies!
● Add group predictors!
○ Percentage of green areas
○ Economical indices
● Try different likelihoods
● Probably save more money...
61. Further resources Richard McElreath: Statistical Rethinking
- Port to PyMC3
Prior Recommendation by Stan Team
Michael Betancourts Case Studies
BerlinBayesians
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