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107.395 Bayesian Statistics
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2023S, VO, 2.0h, 3.0EC
TUWEL

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VO Lecture
  • Format: Presence

Learning outcomes

After successful completion of the course, students are able to to create stochastic models, master the standard methods of Bayesian statistics, have knowledge of special fields (such as nonparametric methods in the Bayesian context), the use of the general conditional expectation under a sigma algebra is also in the non-dominated Case dominated, the unrestricted uses of Bayesian models can in theory and Data analysis are introduced.independent creation and implementation of software

 

 

 

Subject of course

Bayesian principle, prior and posterior distributions, conjugate models, parametric and non-prametric Bayes procedures, decision theory, asymptotics, MCMC methods, information, multivariate Bayes procedures

Teaching methods

Exercises for creating such learning models, Software creation and implementation, demonstration of optimality statements

Mode of examination

Oral

Additional information

Eine Anmeldung bzw. Einschreibung ist in TISS und TUWEL möglich.

Beginn/Vorbesprechung    1.3.22  14h     SEM grün 03

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Tue14:00 - 16:0007.03.2023 - 27.06.2023Sem.R. DA grün 03 B Bayes-Statistik VO
Tue16:00 - 17:0023.05.2023Sem.R. DA grün 03 A Bayes Statistik Sondertermin
Tue14:00 - 18:0027.06.2023FH Hörsaal 2 Bayes Workshop- Prüfungstermin
Bayesian Statistics - Single appointments
DayDateTimeLocationDescription
Tue07.03.202314:00 - 16:00Sem.R. DA grün 03 B Bayes-Statistik VO
Tue14.03.202314:00 - 16:00Sem.R. DA grün 03 B Bayes-Statistik VO
Tue21.03.202314:00 - 16:00Sem.R. DA grün 03 B Bayes-Statistik VO
Tue28.03.202314:00 - 16:00Sem.R. DA grün 03 B Bayes-Statistik VO
Tue18.04.202314:00 - 16:00Sem.R. DA grün 03 B Bayes-Statistik VO
Tue25.04.202314:00 - 16:00Sem.R. DA grün 03 B Bayes-Statistik VO
Tue02.05.202314:00 - 16:00Sem.R. DA grün 03 B Bayes-Statistik VO
Tue09.05.202314:00 - 16:00Sem.R. DA grün 03 B Bayes-Statistik VO
Tue16.05.202314:00 - 16:00Sem.R. DA grün 03 B Bayes-Statistik VO
Tue23.05.202314:00 - 16:00Sem.R. DA grün 03 B Bayes-Statistik VO
Tue06.06.202314:00 - 16:00Sem.R. DA grün 03 B Bayes-Statistik VO
Tue13.06.202314:00 - 16:00Sem.R. DA grün 03 B Bayes-Statistik VO
Tue20.06.202314:00 - 16:00Sem.R. DA grün 03 B Bayes-Statistik VO
Tue27.06.202314:00 - 16:00Sem.R. DA grün 03 B Bayes-Statistik VO
Tue27.06.202314:00 - 18:00FH Hörsaal 2 Bayes Workshop- Prüfungstermin

Examination modalities

Presentation of solutions of the exercises, oral exam in the form of a lecture colloquium

Course registration

Begin End Deregistration end
20.02.2023 08:00

Registration modalities

Anmeldung in TISS oder TUWEL

Curricula

Study CodeObligationSemesterPrecon.Info
066 395 Statistics and Mathematics in Economics Mandatory
066 645 Data Science Not specified
860 GW Optional Courses - Technical Mathematics Not specified

Literature

Lecture notes for this course are online available.

Miscellaneous

Language

German