This module gives a thorough introduction to both (main) general approaches to derive solutions for the statistical inference problems: Likelihood-based inference and Bayesian inference.
Data protection and copyright:
Lecture and exercise class will take place online via Zoom video conferences. It is prohibited to record these video conferences in any way (video, audio, screenshots, etc.). The content of the course, including all provided material, is intellectual property of the respective lecturer (unless declared otherwise) and protected by copyright. Only students enrolled in the Moodle course “Generalized Regression (SS21)” are allowed to use it. In particular, the publication (also partial), duplication, dissemination, and editing of our material (including video conferences) are prohibited. Any violation can be prosecuted.
All students enrolled in the Moodle course pledge themselves to observe the data protection and copyright rules and to use the material (including video conferences) only in the context of their studies individually.
By enrolling in the Moodle course “Statistical Inference I (WS 21/22)”, you agree to these data protection and copyright rules.
Enrolment key (Einschreibeschlüssel): StatInf21/22
- Kursverantwortliche/r: Fahad Ahmed
- Kursverantwortliche/r: Sonja Greven
- Kursverantwortliche/r: Eva-Maria Maier
- Kursverantwortliche/r: Lisa Maike Steyer