Synthetic program: Fondamenti di statistica bayesiana: teorema di Bayes, prior e posterior, distribuzione predittiva, scelta della prior, scambiabilità. Metodi di simulazione, bontà di adattamento e scelta del modello, modelli bayesiani lineari e lineari generalizzati, modelli nonparametrici, introduzione a modelli bayesiani per l'analisi dei dati longitudinali, spaziali e delle serie storiche.
Lecture Notes
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Exercises
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Exams
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Live
Quick daily notes, exercises and audio recordings. Files will be approved on priority but deleted after 365 days. 2 points will be assigned by default.
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