Current topics in statistics

Basic Information

M126 (2+0+2) - 5 ECTS credits

Introduce students to statistical methods that are intensively used in modern applications of statistical analysis.

You can access the course content at the following link: PDF

Teachers

  • Instructor:

Basic literature

  1. J. A. Rice, Mathematical Statistics and Data Analysis, Brooks/Cole, Cengage Learning, 2007.
  2. L. E. Bain and M. Engelhardt – Introduction to Probability and Mathematical statistics, Brooks/Cole, Cengage Learning, 1992.

Additional literature

  1. B. Hansen, Econometrics, University of Wisconsin, 2019.
  2. J. M. Wooldridge, Econometric Analysis of Cross Section and Panel Data, The MIT Press, Cambridge, London, 2010.
  3. R. Pruim, Foundations and Applications of Statistics. In Introduction Using R, AMS, Providence, 2018.
  4. P. Bühlmann, S. van de Geer, Statistics for High-Dimensional Data. Methods, Theory and Applications, Springer, 2011.
  5. A. C.Davison, D.V. Hinkley, Bootstrap methods and their application, Cambridge Univ. Press, 2003.
  6. J. F. Lawless, Statistical Models and Methods for Lifetime Data, John Wiley & Sons, 2003.

Teaching materials

The materials are available on the internal Teams channel of the course, through which all internal communication takes place. Students are required to register on the course’s Teams channel. The channel code for joining the course can be found in the schedule.