Mathematical Statistics and its Applications 1000-1D96ST
The goal of the seminar is to improve and enhance the understanding of mathematical statistics acquired when attending courses of lectures
"Statistics I and II". Talks at the seminar concern selected theoretical issues as well as applications of statistics e.g. to insurance, survey sampling, biology.
Some examples of discussed topics are: Bayesian paradigm, generalized linear models, asymptotic theory of maximum likelihood, choice of model, rank methods. The range of topics may vary from year to year, but we always try to include most important methods.
Recommended references are given at the meetings.
Course coordinators
Type of course
Prerequisites
Assessment criteria
The prerequisite for completing the MA seminar is to have the topic of MASTER thesis and a supervisor in the first year, and to submit the thesis in the second year. Moreover, it is required to prepare and deliver at least 1 talk.
Bibliography
References will be given at the first meeting.