Hauptspalte
Lehrveranstaltungen Wintersemester 2020/21: Master
Module 07-202-1103: Advanced Statistics
Lecture
Lecturer: Prof. Dr. Roland Schuhr
Class Hours: Thursday, 09:15 - 10:45
Room: HS 3
Start: 29.10.2020
Course Language: English
Exercise
Lecturer: Prof. Dr. Roland Schuhr
Class Hours: Monday, 13:15 - 14:45 (Gruppe 1) / Thursday, 13:15 - 14:45 (Group 2)
Room: BBB Conference Room
Start: 30.11.2020
Course Language: Deutsch (Gruppe 1) / English (Group 2)
The exercise units do not take place in an regular rhythm. Please consult the course schedule on moodle for details.
Course Content
- Multivariate normal distribution
- Introduction to maximum likelihood inference
- Maximum likelihood estimation of linear normal models
- Generalized linear regression models (logistic and Poisson regression)
- Introduction to modern methods of inference (resampling, shrinkage, nonparametric and robust estimation)
Targeted Students, Prerequisites and Grading
This course focuses on students of the master program in Economics, students of the master program in Data Sciences and other master programs with an interest in statistical methods.
Students should have profound previous knowledge in statistics (descriptive statistics, probability theory) as well as basic knowledge of statistical inference and econometrics, in particular simple and multiple regression analysis.
The course ends with a written examination (in combination with Advanced Econometrics) of 120 minutes.
