312422 Bayesian Statistics II (V) (SoSe 2019)
Contents, comment
-
Bayesian thinking differs from frequentist statistics in its interpretation of probability and uncertainty. It complements the existing statistical toolbox with powerful methods for simulation and inference. The lectures Bayesian Statistics I and II aim to familiarize the students to the Bayesian approach. The first part deals with the theoretical fundamentals and the principles of estimating, testing, forecasting and model assessment. In addition, Bayesian regression concepts and computer-intensive simulation methods such as Markov chain Monte Carlo (MCMC) are introduced. The second part complements and deepens these topics, for example by Bayesian nonparametric density estimation, Bayesian model choice and Approximate Bayesian Computing (ABC).
Requirements for participation, required level
-
see external webpage
Bibliography
-
see external webpage
External comments page
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 25-FS-EM Introductory Module Einführungsmodul | E2: Einführende Veranstaltung aus den Fakultäten | Student information | |
| E3: Einführende Veranstaltung aus den Fakultäten | Student information | ||
| 25-FS-GM Basic Module Grundlagenmodul | E2: Einführende Veranstaltung aus den Fakultäten | Student information | |
| E3: Einführende Veranstaltung aus den Fakultäten | Student information | ||
| 31-M-ASM1 Advanced Statistical Methods I Advanced Statistical Methods I | Courses in the field of statistics and/or in (a) methodologically related field(s) (I.) | Student information | |
| Courses in the field of statistics and/or in (a) methodologically related field(s) (II.) | Student information | ||
| 31-M-ASM2 Advanced Statistical Methods II Advanced Statistical Methods II | Courses in the field of statistics and/or in (a) methodologically related field(s) (I.) | Graded examination
|
Student information |
| Courses in the field of statistics and/or in (a) methodologically related field(s) (I.) | Graded examination
|
Student information | |
| 31-M-El1 Elective Courses 1 Elective Courses 1 | Chosen course from the group "Specialisation and deepening of the knowledge on economic theory and/or quantitative methods" 4 LP | Student information | |
| 31-M-El2 Elective Courses 2 Elective Courses 2 | Chosen course from the group quantitative methods 4 LP | Student information | |
| 31-M-El3 Elective Courses 3 Elective Courses 3 | Chosen course from the group economic theory 4 LP | Student information | |
| 31-MM15 Quantitative Methods Empirische Wirtschaftsforschung und Quantitative Methoden | Veranstaltungen aus dem Bereich "Angewandte Ökonometrie" (bspw. Methoden der Ökonometrie, etc.) oder aus dem Bereich "Angewandte Statistik" (bspw. GLM, MVV, etc.) oder aus dem Bereich "DV-Technik" (bspw. A&D, Simulationstechniken, etc.) | Student information | |
| 31-MM15-WiMa Quantitative Methods Empirische Wirtschaftsforschung und Quantitative Methoden | Veranstaltungen aus dem Bereich "Angewandte Ökonometrie" (bspw. Methoden der Ökonometrie etc.) oder aus dem Bereich "Angewandte Statistik" (bspw. GLM, MVV etc.) oder aus dem Bereich "DV-Technik" (bspw. A&D, Simulationstechniken etc.) | Student information | |
| 31-SW-AKStat Selected Topics in Statistics Ausgewählte Kapitel der Statistik | Veranstaltung aus dem Bereich Statistik oder einem methodisch verbundenen Gebiet 4 LP | Graded examination
|
Student information |
| Veranstaltung aus dem Bereich Statistik oder einem methodisch verbundenen Gebiet 4 LP | Graded examination
|
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.
| Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
|---|---|---|---|---|---|---|---|
| Studieren ab 50 |
see external webpage
- E-Learning Space
- E-Learning Space
- Registered number: 27
- This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
- eKVV participant management:
- eKVV participant management is used for this course.
- You have to prove your participation by entering a passcode.
- Details zeigen / Enter passcode
- Address:
- SS2019_312422@ekvv.uni-bielefeld.de
- This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
- If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_153198893@ekvv.uni-bielefeld.de
- Notes:
- Additional notes on the electronic mailing lists
- Email archive
- Number of entries 0
- Open email archive
- Last update basic details/teaching staff:
- Wednesday, April 17, 2019
- Last update times:
- Thursday, March 21, 2019
- Last update rooms:
- Thursday, March 21, 2019
- Type(s) / SWS (hours per week per semester)
- lecture (V) / 2
- Language
- This lecture is taught in english
- Department
- Faculty of Business Administration and Economics
- Questions or corrections?
- Questions or correction requests for this course?
- Planning support
- Clashing dates for this course
- Links to this course
- If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
- The following link includes the course ID and is always unique:
- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=153198893
- Send page to mobile
-
Click to open QR code
Scan QR code:
- ID
- 153198893
Top of page