[ 951STCOCSTK14 ] KV (*)Computational Statistics
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| Es ist eine neuere Version 2024W dieser LV im Curriculum Masterstudium Computational Mathematics 2024W vorhanden. |
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| (*) Leider ist diese Information in Deutsch nicht verfügbar. |
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| Workload |
Ausbildungslevel |
Studienfachbereich |
VerantwortlicheR |
Semesterstunden |
Anbietende Uni |
| 4 ECTS |
M2 - Master 2. Jahr |
Statistik |
Helga Wagner |
2 SSt |
Johannes Kepler Universität Linz |
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| Detailinformationen |
| Anmeldevoraussetzungen |
(*)keine
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| Quellcurriculum |
Masterstudium Statistics 2019W |
| Ziele |
(*)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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| Lehrinhalte |
(*)Computer arithmetic, methods of non-linear optimization and root finding, EM algorithm, pseudorandom number generation, numerical integration,
Jackknife and bootstrap, permutation tests
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| Beurteilungskriterien |
(*)Exam
Project
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| Lehrmethoden |
(*)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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| Abhaltungssprache |
Englisch |
| Literatur |
(*)Slides
Supplementary reading will be announced each semester.
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| Lehrinhalte wechselnd? |
Nein |
| Äquivalenzen |
(*)in collaboration with 951STMOSANK14: KV Survival Analysis (4 ECTS) equivalent to
4MSCVDPR: PR Computerintensive Verfahren in der Datenanalyse (6 ECTS)
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| Präsenzlehrveranstaltung |
| Teilungsziffer |
20 |
| Zuteilungsverfahren |
Zuteilung nach Vorrangzahl |
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