GitHub - damonbayer/prob-epi at e0a613fabc2ecdae5e63b3589a504c7e7cab210b

damonbayer / prob-epi Public

forked from elizavetasemenova/prob-epi

Notifications You must be signed in to change notification settings
Fork 0
Star 0

Course materials of "Bayesian Modelling and Probabilistic Programming" with NumPyro, initially created for "AI for Science" MSc at the African Institute for Mathematical Sciences (AIMS), South Africa

elizavetasemenova.github.io/prob-epi

MIT license

0 stars 21 forks Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 214 Commits
.github/workflows		.github/workflows
assets		assets
data		data
.gitignore		.gitignore
01_intro.md		01_intro.md
02_about.md		02_about.md
03_intro_epi.md		03_intro_epi.md
04_probability_distributions.ipynb		04_probability_distributions.ipynb
05_Bayesian_inference.ipynb		05_Bayesian_inference.ipynb
06_Monte_Carlo.ipynb		06_Monte_Carlo.ipynb
07_MCMC.ipynb		07_MCMC.ipynb
08_PPLs.md		08_PPLs.md
09_intro_to_Numpyro.ipynb		09_intro_to_Numpyro.ipynb
09a_JAX_patterns.ipynb		09a_JAX_patterns.ipynb
10_focus_on_priors.ipynb		10_focus_on_priors.ipynb
11_Bayesian_workflow.ipynb		11_Bayesian_workflow.ipynb
12_model_comparison.ipynb		12_model_comparison.ipynb
13_glms.md		13_glms.md
14_logistic_regression.ipynb		14_logistic_regression.ipynb
15_hierarchical_modelling.ipynb		15_hierarchical_modelling.ipynb
16_AR.ipynb		16_AR.ipynb
17_GP_priors.ipynb		17_GP_priors.ipynb
18_GP_inference.ipynb		18_GP_inference.ipynb
19_geostatistics.ipynb		19_geostatistics.ipynb
20_areal_data.ipynb		20_areal_data.ipynb
21_LGCP.ipynb		21_LGCP.ipynb
22_ODEs.ipynb		22_ODEs.ipynb
23_ID_modelling.ipynb		23_ID_modelling.ipynb
24_other.ipynb		24_other.ipynb
999_acknowledgements.md		999_acknowledgements.md
README.md		README.md
_config.yml		_config.yml
_toc.yml		_toc.yml
logo.png		logo.png
requirements.txt		requirements.txt

Repository files navigation

https://elizavetasemenova.github.io/prob-epi

To correct typos, please make pull requests. If these notes get published, I will list your name in Acknowledgements.

For more substantial suggestions about the course content, such as desired topics, please use issues.

If you enjoyed and/or learnt from these materials, please leave a star and/or cite

@book{semenova24,
  author = {Semenova, Elizaveta},
  title = {Bayesian Modelling and Probabilistic Programming with Numpyro, and examples from Epidemiology.},
  year = {2024}
}

About

Course materials of "Bayesian Modelling and Probabilistic Programming" with NumPyro, initially created for "AI for Science" MSc at the African Institute for Mathematical Sciences (AIMS), South Africa

elizavetasemenova.github.io/prob-epi

Readme

MIT license

Activity

0 stars

0 watching

0 forks

Report repository