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| Semester | spring semester 2019 |
| Course frequency | Every 2nd spring sem |
| Lecturers | Kai Hencken (k.hencken@unibas.ch, Assessor) |
| Content | Introduction to Bayesian Statistics and its foundations. Statistical inference from the posterior information, predictions etc. Different choises for the prior Information: Conjugate Priors, noninformative priors. Statistical decision theory and its relation to point estimates Numerical methods for Bayesian statistics |
| Learning objectives | Foundations of Bayesian Statistics and ist interpretation of probability. Statistical Inference from posterior distribution. Different possibilities for prior information. Statistical decision theory |
| Bibliography | will be announced in the lecture |
| Admission requirements | Basic Calculus |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Course auditors welcome |
| Interval | Weekday | Time | Room |
|---|
No dates available. Please contact the lecturer.
| Modules |
Module Specialisation: Physics (Master's Studies: Nanosciences) Module: Specialisation: Physics (Master's Studies: Physics) |
| Assessment format | continuous assessment |
| Assessment details | Exercises accompanying the lecture |
| Assessment registration/deregistration | Reg.: course registration, dereg: cancel course registration |
| Repeat examination | no repeat examination |
| Scale | 1-6 0,5 |
| Repeated registration | as often as necessary |
| Responsible faculty | Faculty of Science, studiendekanat-philnat@unibas.ch |
| Offered by | Departement Physik |