The student will understand the Bayesian inferential paradigm and its difference with respect to classical inferential paradigm.
He will be able to specify and estimate a range of models within the Bayesian approach, assess the quality of the models and interpret the
results
Bayesian Statistics
Learning Goals
Program in pills
Introduction to Bayesian inference; single parameter models; predictive distribution and priors; multiparameter models; hierarchical models; regression model; Markov Chain Monte Carlo; introduction to Stan.
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
Francesco Pauli
Leonardo Egidi