[ 300PSTATSTAS21 ] SE Dissertation Seminar - Statistics
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| Es ist eine neuere Version 2025W dieser LV im Curriculum Doctoral programme Social and Economic Sciences 2025W vorhanden. |
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| Workload |
Education level |
Study areas |
Responsible person |
Hours per week |
Coordinating university |
| 6 ECTS |
R - Doctoral programme |
Statistics |
Werner Müller |
2 hpw |
Johannes Kepler University Linz |
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| Detailed information |
| Original study plan |
Doctoral programme Social and Economic Sciences 2021W |
| Objectives |
To understand and learn advanced techniques of Statistics relevant for doctoral study of the actual doctorand students. To develop the ability of proper application of these methods.
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| Subject |
Bayesian Nonparameterics.
Bayesian Optimal Design.
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| Criteria for evaluation |
Presentation.
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| Methods |
Lecture. Homework. Reading of selected papers and discussion.
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| Language |
English |
| Study material |
Ghosh, Ramamoorthi, Bayesian Nonparametrics, Springer, 2003
Pukelsheim, Optimal Design of experiments, Wiley, 1993
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| Changing subject? |
Yes |
| Earlier variants |
They also cover the requirements of the curriculum (from - to)
300SOWISTAS15: SE Dissertation Seminar - Statistics (2015S-2021S)
3DSTATS: SE Dissertation Seminar - Statistics (2009W-2014W)
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| On-site course |
| Maximum number of participants |
20 |
| Assignment procedure |
Assignment according to priority |
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