Dynamic Linear Models with R, P. Campagnoli, S.

Argomenti del programma: In the first part, we will cover linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, subset selection and model regularization methods (ridge and lasso); tree-based methods, random forests and boosting. The focus is on the important elements of modern data analysis and its applications. The computing language is the R programming language.

Argomenti del programma: In the first part, we will cover linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, subset selection and model regularization methods (ridge and lasso); tree-based methods, random forests and boosting. The focus is on the important elements of modern data analysis and its applications. The computing language is the R programming language.