Dr. Gunther Schauberger
Publications
- Schauberger, Gunther and Tutz, Gerhard (2014): Regularization
methods in economic forecasting. In: Beran, J.,
Feng,Y., Hebbel, H. (Eds.)
Empirical Economic and Financial Research - Theory,
Methods and Practice, Advanced Studies in Theoretical
and Applied Econometrics, Vol. 48, Springer
- Tutz, Gerhard and Schauberger, Gunther (2013):
Visualization
of Categorical Response Models - from Data Glyphs to
Parameter Glyphs,
Journal of Computational and Graphical Statistics,
22(1), 156-177, DOI 10.1080/10618600.2012.701379
- Marco Heurich, Lisa Möst, Gunther Schauberger, Holger
Reulen, Pavel Sustr and Thorsten Hothorn (2012): Survival
and causes of death of European Roe Deer before and
after Eurasian Lynx introduction in the Bavarian Forest
National Park, European Journal of Wildlife
Research, 58(3), 567 -
578, DOI 10.1007/s10344-011-0606-y
Doctoral Thesis
Conference Contributions:
- Schauberger, Gunther, Groll, Andreas and Tutz, Gerhard
(2016): Modeling Football Results in Penalized Ordinal
Bradley-Terry Models Including Match-specific
Covariates, Proceedings of the 31st International
Workshop on Statistical Modelling, Volume 1.
Statisical Modelling Society
- Schauberger, Gunther and Groll, Andreas (2016):
Modeling Football Results in Penalized Ordinal
Bradley-Terry Models Including Match-specific
Covariates, Abstract Book of the 4th Joint
Statistical Meeting DAGStat 2016
Technical Reports:
Applications:
R-packages
- EffectStars2:
Effest stars can be used to visualize estimates of
parameters corresponding to different groups, for example
in multinomial logit models. Beside the main function
'effectstars' there exist methods for special objects, for
example for 'vglm' objects from the VGAM package.
- EffectStars:
Provides functions to visualize regression models with
categorical predictors by Effect Stars. Notice:
EffectStars2 contains a more up-to-date implementation
of effect stars!
- DIFlasso:
A packages to perform DIFlasso, a method to detect
Differential Item Functioning (DIF) in Rasch Models
- DIFboost:
Performs detection of Differential Item Functioning using
the method DIFboost
Impressum
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