230501 Frequentistische und bayesianische Zugänge zur Regressionsanalyse 1 (S) (WiSe 2024/2025)
Contents, comment
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Das Seminar gibt eine Einführung in die Regressionsanalyse mit sowohl frequentistischen als auch Bayesianischen Verfahren. Neben theoretischen Aspekten sollen die Inhalte auch mit Hilfe von R direkt umgesetzt werden. Die zugrunde gelegte Lektüre wird noch bekanntgegeben.
Requirements for participation, required level
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Das Seminar ist eng mit dem Seminar 230501 Frequentistische und Bayesianische Zugänge zur Regressionsanalyse 2 verzahnt. Es wird aus diesem Grund die parallele Belegung beider Seminare empfohlen.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| weekly | Do | 8:30-10 (s.t.) | C6-200 | 07.10.2024-31.01.2025
not on: 10/10/24 / 12/26/24 / 1/2/25 |
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| weekly | Do | 8:30-10 (s.t.) | C01-273 | 07.10.2024-31.01.2025
not on: 10/10/24 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 23-LIN-MaPL Models of Language Processing Models of Language Processing | Lehrveranstaltung 1 | Study requirement
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Student information |
| Lehrveranstaltung 2 | Study requirement
|
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
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- Notes:
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- Last update basic details/teaching staff:
- Tuesday, May 14, 2024
- Last update times:
- Thursday, July 25, 2024
- Last update rooms:
- Thursday, July 25, 2024
- Type(s) / SWS (hours per week per semester)
- seminar (S) / 2
- Department
- Faculty of Linguistics and Literary Studies
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