[ 951STCOCSTK14 ] KV Computational Statistics
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| Es ist eine neuere Version 2024W dieser LV im Curriculum Master's programme Computational Mathematics 2024W vorhanden. |
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| 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 |
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| Detailed information |
| Pre-requisites |
keine
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| 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.
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| Subject |
Methods of non-linear optimization, EM algorithm, pseudorandom number generation, MCMC methods, Jackknife and bootstrap, numerical integration
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| Criteria for evaluation |
Written project reports
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| 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
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| Language |
English |
| Study material |
Slides
Supplementary reading will be announced each semester.
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| 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)
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| On-site course |
| Maximum number of participants |
20 |
| Assignment procedure |
Assignment according to priority |
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