The course focuses on fundamental elements of statistical inference, along with some principles and statistical techniques useful for the analysis of complex data. The student will be able to use appropriate statistical models and to select among alternative models using the relevant inferential approach.
Statistical Methods
Learning Goals
Program in pills
Review of some basic concepts of probability. Statistics and their properties. Statistical models and inference. Theory of maximum likelihood estimation. AIC and model selection. Elements of Bayesian Inference. Theory of linear models. Multilevel extensions. Application of the methods using the R software.
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
Nicola Torelli
Gioia Di Credico