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