312.230 (19S) Bayesian Statistics
Overview
- Lecturer
- Course title german Bayesian Statistics
- Type Lecture
- Hours per Week 2.0
- ECTS credits 4.0
- Registrations 6
- Organisational unit
- Language of instruction English
- Course begins on 01.03.2019
- eLearning Go to Moodle course
Time and place
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Course Information
Intended learning outcomes
Overview on modern Bayesian methods and development of computational skills for Bayesian statistics
Teaching methodology including the use of eLearning tools
Lectures and computer tasks
Course content
1.) Bayes Theorem, Bayesian decision theory
2.) Bayesian Statistics for Gaussian data
3.) Priors
4.) Metropolis-Hastings algorithm
5.) Gibbs-Sampling
6.) Importance-Sampling
7.) BUGS
8.) Hierarchical Bayesian Methods
9.) Examples with BUGS
10.) Bayesian models for categorical data
11.) Examples with BUGS
12.) Bayesian methods for nonlinear classification and regression
13.) Examples with BUGS
14.) Nonparametric and semiparametric Bayesian Statistics
15.) Examples with BUGS
Examination information
Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.
Examination methodology
Oral examination (45 min)
Examination topic(s)
The topics of the lectures
Grading scheme
Grade / Grade grading schemePosition in the curriculum
- Thematic Doctoral Programme Modeling-Analysis-Optimization of discrete, continuous and stochastic systems
(SKZ: ---, Version: 16W.1)
-
Subject: Modeling-Analysis-Optimization of discrete, continuous and stochastic systems
(Compulsory subject)
-
Modeling-Analysis - Optimization of discrete, continuous and stochastic systems (
0.0h XX / 0.0 ECTS)
- 312.230 Bayesian Statistics (2.0h VO / 4.0 ECTS)
-
Modeling-Analysis - Optimization of discrete, continuous and stochastic systems (
0.0h XX / 0.0 ECTS)
-
Subject: Modeling-Analysis-Optimization of discrete, continuous and stochastic systems
(Compulsory subject)
- Masterstudium Mathematics
(SKZ: 401, Version: 18W.1)
-
Subject: Applied Statistics
(Compulsory elective)
-
5.1 Bayesian Statistics (
2.0h VO / 4.0 ECTS)
- 312.230 Bayesian Statistics (2.0h VO / 4.0 ECTS)
-
5.1 Bayesian Statistics (
2.0h VO / 4.0 ECTS)
-
Subject: Applied Statistics
(Compulsory elective)
- Masterstudium Mathematics
(SKZ: 401, Version: 18W.1)
-
Subject: Applied Mathematics
(Compulsory elective)
-
Lehrveranstaltungen aus den Vertiefungsfächern (
0.0h XX / 12.0 ECTS)
- 312.230 Bayesian Statistics (2.0h VO / 4.0 ECTS)
-
Lehrveranstaltungen aus den Vertiefungsfächern (
0.0h XX / 12.0 ECTS)
-
Subject: Applied Mathematics
(Compulsory elective)
- Master's degree programme Technical Mathematics
(SKZ: 401, Version: 13W.1)
-
Subject: Angewandte Statistik
(Compulsory elective)
-
Bayessche Statistik (
3.0h VU / 6.0 ECTS)
- 312.230 Bayesian Statistics (2.0h VO / 4.0 ECTS)
-
Bayessche Statistik (
3.0h VU / 6.0 ECTS)
-
Subject: Angewandte Statistik
(Compulsory elective)
- Doctoral programme Doctoral programme in Technical Sciences
(SKZ: 786, Version: 12W.4)
-
Subject: Studienleistungen gem. § 3 Abs. 2a des Curriculums
(Compulsory subject)
-
Studienleistungen gem. § 3 Abs. 2a des Curriculums (
16.0h XX / 32.0 ECTS)
- 312.230 Bayesian Statistics (2.0h VO / 4.0 ECTS)
-
Studienleistungen gem. § 3 Abs. 2a des Curriculums (
16.0h XX / 32.0 ECTS)
-
Subject: Studienleistungen gem. § 3 Abs. 2a des Curriculums
(Compulsory subject)