Recreating Michael Betancourt’s Bayesian modeling course from his online materials
This article is originally published at https://vasishth-statistics.blogspot.com/Several people wanted to have the slides from Betancourt's lectures at SMLP2018. It is possible to recreate most of the course from his writings:
1. Intro to probability:
https://betanalpha.github.io/assets/case_studies/probability_theory.html
2. Workflow:
https://betanalpha.github.io/assets/case_studies/principled_bayesian_workflow.html
3. Diagnosis:
https://betanalpha.github.io/assets/case_studies/divergences_and_bias.html
4. HMC: https://www.youtube.com/watch?v=jUSZboSq1zg
5. Validating inference: https://arxiv.org/abs/1804.06788
6. Calibrating inference: https://arxiv.org/abs/1803.08393
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This article is originally published at https://vasishth-statistics.blogspot.com/
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