Inhalt

[ 951STCOCSTK14 ] KV Computational Statistics

Versionsauswahl
Es ist eine neuere Version 2019W dieser LV im Curriculum Master's programme Artificial Intelligence 2019W vorhanden.
Workload Education level Study areas Responsible person Hours per week Coordinating university
4 ECTS M2 - Master's programme 2. year Statistics Helga Wagner 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites keine
Original study plan Master's programme Statistics 2015W
Objectives Students learn to understand the theory and the correct application of advanced topics in computational statistics as well as to independently implement and apply selected methods.

Subject Methods of non-linear optimization, EM algorithm, pseudorandom number generation, MCMC methods, Jackknife and bootstrap, numerical integration
Criteria for evaluation Written project reports
Methods Lecture by instructor; Discussion of the projects, where the solution is presented by the students in a project report; Independent development and application of computational statistical methods
Language English
Study material Slides

Supplementary reading will be announced each semester.

Changing subject? No
Corresponding lecture in collaboration with 951STMOSANK14: KV Survival Analysis (4 ECTS) equivalent to
4MSCVDPR: PR Computerintensive Verfahren in der Datenanalyse (6 ECTS)
On-site course
Maximum number of participants 20
Assignment procedure Assignment according to priority