Prof. Piercesare Secchi

Argomenti del programma: Fondamenti della modellazione statistica : modelli statistici, funzione di regressione, stima della funzione di regressione mediante metodi locali, maledizione della dimensionalità, errore di generalizzazione, compromesso distorsione-varianza e overfitting.

Argomenti del programma: The topics covered by the 8 CFU version of the course are the following: 1) The essence of statistical learning. The regression function: local methods and the curse of dimensionality. Structured models. Test error, training error and expected test error. The bias variance tradeoff. Generalization error and Expected generalization error. Bias-variance tradeoff.

Argomenti del programma: The topics covered by the 8 CFU version of the course are the following: 1) The essence of statistical learning. The regression function: local methods and the curse of dimensionality. Structured models. Test error, training error and expected test error. The bias variance tradeoff. Generalization error and Expected generalization error. Bias-variance tradeoff.