Argomenti del programma: Principles of Bayesian learning . Quantifying uncertainty using probabilities. Likelihood, prior and posterior distributions: Bayes ’ Theorem for learning from data. Bayesian estimation and hypothesis testing. Posterior mean and variance, maximum a posteriori (MAP) estimate, posterior intervals, prediction, Bayes factor. Basic models . Bayesian learning for proportions (Bernoulli model- Beta prior).
Argomenti del programma: Principles of Bayesian learning . Quantifying uncertainty using probabilities. Likelihood, prior and posterior distributions: Bayes ’ Theorem for learning from data. Bayesian estimation and hypothesis testing. Posterior mean and variance, maximum a posteriori (MAP) estimate, posterior intervals, prediction, Bayes factor. Basic models . Bayesian learning for proportions (Bernoulli model- Beta prior).
Argomenti del programma: Principles of Bayesian learning . Quantifying uncertainty using probabilities. Likelihood, prior and posterior distributions: Bayes ’ Theorem for learning from data. Bayesian estimation and hypothesis testing. Posterior mean and variance, maximum a posteriori (MAP) estimate, posterior intervals, prediction, Bayes factor. Basic models . Bayesian learning for proportions (Bernoulli model- Beta prior).
Argomenti del programma: 1) Teoria della probabilità. Definizione assiomatica di probabilità. Probabilità condizionata e indipendenza. Probabilità su spazi campionari discreti. Probabilità sull'asse reale. Cenni alla teoria della misura sigma-finite e misura di Lebesgue. 2) Variabili aleatorie. Variabili aleatorie e loro leggi. Integrazione rispetto a una misura sigma-finita e di probabilità. Valore atteso e momenti.
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Domande frequenti
Quali libri consiglia il prof. Federico Bassetti per Bayesian Learning And Montecarlo Simulation (Computer Science and Engineering, canale unico)?
Jean-Michel Marin – A Practical Approach to Computational Bayesian Statistics
Quali libri consiglia il prof. Federico Bassetti per Bayesian Learning And Montecarlo Simulation (Electrical Engineering, canale unico)?
Jean-Michel Marin – A Practical Approach to Computational Bayesian Statistics
Quali libri consiglia il prof. Federico Bassetti per Bayesian Learning And Montecarlo Simulation (High Performance Computing Engineering, canale unico)?
Jean-Michel Marin – A Practical Approach to Computational Bayesian Statistics
Quali libri consiglia il prof. Federico Bassetti per Probabilita'?
Libri Universitari