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This bachelor/master-seminar deals with selected methods and topics that are less common in the classical statistics curriculum .

Besides rather classical topics like non-parametric statistics, some non-classical topics aim at applications of order and lattice theory, others are rather motivated by the philosophy of science in the context of statistics (including machine learning contexts), further topics deepen aspects of decision theory.  For the latter, it is advantageous to have heard the corresponding lecture on decision theory, but this is not a must.

Since the seminar is offered for advanced bachelor students as well as master students and since the mathematical background of the students is probably relatively heterogeneous, this will be taken into account concerning the requirements and also in the supervision. In general, the exact design of the seminar topics (whether more in depth or more in breadth, etc.) can of course be individually shaped by the students in consultation with the lecturers.

The topics are partly related to each other and partly rather independent of each other.


The seminar will take place in blocks at the end of the semester (around the first week of March), the exact scheduling will take place in the preliminary meeting.

The preliminary meeting, during which the topic will be assigned, is tentatively scheduled for Monday, Nov. 15, beginning at 18:00 s.t. via zoom.

There will be an interim meeting (via zoom) around mid-January.

The seminar is planned as a virtual event via zoom.


A list of possible topics can be found here.


Enrollment key: NonStandTop
NonStandTop