The course focuses on statistical inference for the analysis of complex data. The student will be able to specify and estimate a range of models, assess the quality of the models, and interpret the results using the relevant inferential approach.
Advanced Statistical Methods
Learning Goals
Program in pills
The course extends basic statistical models through the introduction of multilevel/ hierarchical models, semi and non-parametric regression models, spline functions, penalized likelihood approaches (such as LASSO and Ridge regression models), hierarchical models for estimating smooth regression functions, analysis of functional data. Applications to complex datasets and simulation approaches will be illustrated during the course using the Stan ecosystem and the statistical software R.
Area
Mathematical and statistical modelling
Curriculum Foundations
TAF Type
Curriculum Industry
TAF Type
Curriculum Health
TAF Type
Curriculum Economy
TAF Type
SSD
ECTS
Semester
Lecturers
Leonardo Egidi
Francesco Pauli
Matilde Trevisani