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Mathematical Engineering - Bayesian Statistics

BAYESIAN STATISTICS


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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Oral exam:

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Multiple choice test:

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Other:

Other

Laboratory:

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Projects:

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Presentations:

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Collections of notes, exercises or exams:

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Tables:

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Etc:

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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.

Quick contents:

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