Statistiques Bayésiennes

Slides

• Chapter 1: Bayesian thinking and bayesian models | pdf | browser
• Chapter 2: Markov-Chain Monte-Carlo algorithms | pdf | browser
• Chapter 3: Hierarchical models and Bayesian machine learning | pdf | browser

TD/TP

• TD1: Bayesian models (pdf)
• TP2: MCMC diagnostics (pdf)
• TP3: Intro to PyMC (view notebook) | (download notebook)
• TP4: Hierarchical models (I): bayesian regression (view notebook) | (download notebook)
• TD5: Hierarchical models (II): Capture & recapture (pdf) (python code)
• TD6: Bayesian ML: logistic regression (pdf) (solutions pdf)
• TP7: Bayesian ML for churn prediction (view notebook) | (download notebook)

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