Time Series Analysis
Lecture (Klaus Wohlrabe)
starting 14.04., Tuesday 2 p.m. - 6 p.m., c.t., Geschw.-Scholl-Pl. 1 (M) - M 110
You may choose between two dates for the tutorial (both tutorials offer the same content):
Tutorial (Malte Kurz)
starting 20.04., Monday 4 p.m. - 8 p.m., s.t., Geschw.-Scholl-Pl. 1 (E), Room E 216
Tutorial (Andreas Fuest):
starting 17.04., Friday 4 p.m. - 8 p.m., s.t., Amalienstr. 52 (K), Room K 401
Lecture and Tutorial in English.
Please find downloadable Scripts as well as the access to the moodle class and the term-time-schedule on the German Homepage. The password will be announced during the first lecture/tutorial.
- Basic Concepts in Stochastic Processes
- Univariate ARIMA Processes
- Estimation and Prediction for ARIMA Models
- Univariate GARCH Models
- Selected Topics
Target audience: Advanced bachelor and master students in economics, business, statistics, mathematics and computer science.
Prerequisites: Working knowledge of mathematics (analysis, linear algebra) , basic knowledge of econometrics (econometrics I) or statistics (linear models).
Record of achievement: 6 ECTS-Credits or "Schein" for passing a written exam at the end of the term.
- Shumway, R. H., Stoffer, D. S., Time Series Analysis and Its Applications (2nd edition), New York: Springer-Verlag, 2006
- Brockwell, P.J., Davis, R.A., Introduction to Time Series and Forecasting (2nd edition), New York: Springer-Verlag, 2002
- Brockwell, P.J., Davis, R.A., Time Series: Theory and Methods (2nd edition), New York:Springer-Verlag, 1987
- Hamilton, J.D., Time Series Analysis, Princeton University Press, 1994
- Tsay, R.S., Analysis of Financial Time Series (2nd edition), Wiley-Interscience, 2005
- General information about R: The R Project for Statistical Computing
- Download and installation: The Comprehensive R Archive Network (CRAN)
- Help sites: R Help, the link to the R Coding Conventions may be important
- R Editor: Tinn-R
- R courses at the Department of Statistics in the summer term 2010: