Statistical Theory of Science
The course gives you knowledge about epistemological views on empirically based knowledge and statistical problem solving and modelling from an applied point of view. A pervading theme in the course is the role models play in empirical science.
The course takes as a starting point some basic epistemological views on knowledge, for example, how scientific knowledge is generated and how it changes. Different classic epistemological approaches are related to different statistical methods (e.g. hypothesis testing, Bayesian statistics, likelihood models) in order to highlight the relationship between philosophical questions about science, statistical inference and proofs/results. The course also treats ethical aspects.
The course gives you a deeper understanding of experimental and non-experimental research methods. In this course you will learn how to give an account important epistemological viewpoints and their relationship to statistical methods, and discuss the advantages and disadvantages of experimental and non-experimental methods in specific situations, especially with respect to validity, causal conclusions, control of sources of error and handling of confounders.
-
Course structure
The course is given at day time, full time.
The course forms a part of the Master's Program in Statistics, but it can also be studied as a freestanding course.
Teaching format
The teaching consists of lectures and exercises.
Assessment
Examination will be in the form of oral and written presentations.
Examiner
If you have questions about studying at the Department of Statistics, please contact our study- and career counselor.
-
Course literature
Note that the course literature can be changed up to two months before the start of the course. -
Contact
If you have questions about studying at the Department of Statistics, please contact our study- and career counselor.
