Bayesian Statistics

Learning Goals

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

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

D

Curriculum Industry
TAF Type

D

Curriculum Health
TAF Type

D

Curriculum Economy
TAF Type

C

SSD

SECS-S/01

ECTS

6

Semester

2

Lecturers

Francesco Pauli
Leonardo Egidi