Bayesian Analysis

A.Y. 2020/2021
6
Max ECTS
40
Overall hours
SSD
SECS-S/01
Language
English
Learning objectives
The aim of the course is to introduce the Bayesian approach to statistical inference. The course will develop the relevant methodology, theory and computational techniques necessary to its implementation. In the course single and multi-parameter models as well as the fundamental of Bayesian regression analysis will be discussed.
Expected learning outcomes
At the end of the course students will know Bayesian inference and the computational ad methodological skills to use OpenBUGS software for Bayesian modelling.
Course syllabus and organization

Single session

Lesson period
Second trimester
SECS-S/01 - STATISTICS - University credits: 6
Lessons: 40 hours