401-4619-67L
Advanced Topics in Computational Statistics
Semester
Autumn Semester 2019
Lecturers
not available
Periodicity
two-yearly recurring course
Course
Does not take place this semester.
Language of instruction
English
Courses
Number
Title
Hours
Lecturers
401-4619-00 V
Advanced Topics in Computational Statistics
Does not take place this semester. As an exception does not take place in HS 2019.
2 hrs
not available
Catalogue data
Abstract
This lecture covers selected advanced topics in computational statistics. This year the focus will be on graphical modelling.
Objective
Students learn the theoretical foundations of the selected methods, as well as practical skills to apply these methods and to interpret their outcomes.
Content
The main focus will be on graphical models in various forms: Markov properties of undirected graphs; Belief propagation; Hidden Markov Models; Structure estimation and parameter estimation; inference for high-dimensional data; causal graphical models
Prerequisites / Notice
We assume a solid background in mathematics, an introductory lecture in probability and statistics, and at least one more advanced course in statistics.
Performance assessment
Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits
4 credits
Examiners
Type
session examination
Language of examination
English
Repetition
The performance assessment is only offered in the session after the course unit. Repetition only possible after re-enrolling.
Mode of examination
written 120 minutes
Additional information on mode of examination
Students must have taken the exam in Winter 2018 or in Summer 2018. Be aware that no exam will be offered afterwards until the course will be read again.
Written aids
None
This information can be updated until the beginning of the semester; information on the examination timetable is binding.
Learning materials
No public learning materials available.
Only public learning materials are listed.
Groups
No information on groups available.
Restrictions
There are no additional restrictions for the registration.
Performance assessment as a semester course