Instruction

Name Cr Method of study Time Location Organiser
Advanced Bayesian Inference 5 Cr Lecture Course 9.3.2020 - 3.5.2020
Name Cr Method of study Time Location Organiser
Advanced course in Bayesian statistics 5 Cr General Examination 8.8.2018 - 8.8.2018
Advanced course in Bayesian statistics 5 Cr General Examination 13.6.2018 - 13.6.2018
Advanced course in Bayesian statistics 5 Cr General Examination 23.5.2018 - 23.5.2018
Advanced course in Bayesian statistics 5 Cr Lecture Course 12.3.2018 - 6.5.2018

Target group

Optional course.

Master's Programme in Mathematics and Statistics is responsible for the course.

The course belongs to the Statistics and Social statistics module.

Students in Master's programmes of Mathematics and Statistics, Life Science Informatics and Data Science

Prerequisites

Bachelor studies

Learning outcomes

Knowledge in foundations of Bayesian statistics, model comparison and validation, decision analysis and experimental design

Timing

After the Bachelor studies and Bayesian Inference course.
4th period

Contents

Foundations of Bayesian statistics, model comparison and validation, decision analysis and experimental design

Activities and teaching methods in support of learning

Lectures, exercises, computer exercises, project work

Study materials

Lecture notes and articles to be announced during the course

Assessment practices and criteria

Exam and excercises, Course will be graded with grades 1-5

Recommended optional studies

Computational statistics

Completion methods

Exam, other methods will be described later