Bayesian Analysis
A.Y. 2021/2022
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 will discussed.
Expected learning outcomes
At the end of the course students will know Bayesian inference and the computational methodology necessary to its implementation.
Lesson period: Second trimester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Professor(s)
Reception:
Each Wednesday 12-14
DEMM, room 31, 3° floor (By appointment, please send an email)