- Notebook Polling
- coin flip
- dice notebook based on
- distributions: Beta, Binomial
- dirichlet,
- Multinomial
- TD: Grades based on https://towardsdatascience.com/bayesian-linear-regression-in-python-using-machine-learning-to-predict-student-grades-part-2-b72059a8ac7e https://github.com/WillKoehrsen/Data-Analysis/blob/master/bayesian_lr/Bayesian%20Linear%20Regression%20Project.ipynb
- Why MC converge to posteriori distribution
- GLM
- ab testing simple
- missing: hierarchical
- TD: ab testing hierarchical & digital campaign
- AR1 (pymc3)
- ARIMA (python)
- phase shift
- intermittent
- Gaussian
- gaussian mixture
- Gaussian process
- bien betonner l'intro, le conjugate prior
- finish TD & examples python.
- ? lien entre posterior, likelihood, prior, evidence et le code: https://blog.applied.ai/bayesian-inference-with-pymc3-part-1/
- enchainement pas encore au point
- pour conjugate prior faire un exemple sans sampling
- books, further readings, ....
- demo bootstrap notebook pour simple rappel
- Bayesian bootstrap
- grade prediction TD de l'apres midi
- iris / titanic pour logistic ?
- GLM
- plot_posterior_predictive
- td de l'apres midi sur student data
- ou titanic ?
- ? lien entre Markov Chain et distribution du poterieur
-
AB testing, finish notebook
-
AB testing, slides
-
Hierarchical prior
-
TD?