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Institute of Stochastics

Secretariat
Kollegiengebäude Mathematik (20.30)
Room 2.056 und 2.002

Address
Hausadresse:
Karlsruher Institut für Technologie (KIT)
Institut für Stochastik
Englerstr. 2
D-76131 Karlsruhe

Postadresse:
Karlsruher Institut für Technologie (KIT)
Institut für Stochastik
Postfach 6980
D-76049 Karlsruhe

Office hours:
Mo-Fr 10:00 - 12:00

Tel.: +49 721 608 43270/43265

Fax.: +49 721 608 46066

Steffen Betsch M.Sc.

Office hour for students: by appointment.
Room: 2.009 Kollegiengebäude Mathematik (20.30)
Tel.: 0721 608 45262
Email: steffen.betsch@kit.edu


Karlsruhe Institute of Technology (KIT)
Institute of Stochastics
Englerstr. 2
D-76128 Karlsruhe
Germany

Preprints

  • J.S. Allison, S. Betsch, B. Ebner, I.J.H. Visagie (2019), "New weighted L^2-type tests for the inverse Gaussian distribution", arXiv:1910.14119.

Publications in refereed journals

  • S. Betsch, B. Ebner, B. Klar (2020), "Minimum L^q-distance estimators for non-normalized parametric models", accepted for publication in the Canadian Journal of Statistics, arXiv:1909.00002.
  • S. Betsch, B. Ebner (2020), "Testing normality via a distributional fixed point property in the Stein characterization", TEST, Volume 29, Issue 1, pages 105-138, Link.
  • S. Betsch, B. Ebner (2019), "Fixed point characterizations of continuous univariate probability distributions and their applications", Annals of the Institute of Statistical Mathematics, Link.
  • S. Betsch, B. Ebner (2019), "A new characterization of the Gamma distribution and associated goodness-of-fit tests", Metrika, Volume 82, Issue 7, pages 779-806, Link.

Proceedings

  • S. Betsch (2019), "A new method for the estimation of distribution functions in parametric models", Proceedings of the 21st European Young Statisticians meeting, Link.

Conferences and workshops


Software Packages

  • S. Betsch, L. Butsch, B. Ebner (2020) gofgamma: Goodness-of-Fit Tests for the Gamma Distribution. R package version 1.0, Link.




Current List of Courses
Semester Titel Typ
Summer Semester 2020 Lecture
Proseminar
Winter Semester 2019/20 Lecture
Seminar