Theory of Statistical Inference - HT24

This course is taught in English.

The course addresses the basic statistical principles from the viewpoints of both frequentist and Bayesian statistics. In particular, the topics, like point and interval estimation, test theory, likelihood theory, asymptotics, bootstrap, and model selection will be studied. The implementation of the theoretical results in statistical software is an important part of the course. 

Literature: "Likelihood and Bayesian Inference: With Applications in Biology and Medicine" by Leonhard Held and Daniel Sabanés Bové, Springer 2020.

The book is available in electronic format from http://sub.su.se

Teacher: Johannes Heiny

Please note that self-enrollment on the course page is not the same as course registration in Ladok.