Sonja Greven

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 11

Top Topics

Model Selection

Base Classifiers

Gradient Boosting

Top Venues

Comput. Stat. Data Anal.

Publications

Almond Stöcker, Lisa Steyer, Sonja Greven
Functional Additive Models on Manifolds of Planar Shapes and Forms. J. Comput. Graph. Stat. 32 (4) (2023)
Boyao Zhang, Tobias Hepp, Sonja Greven, Elisabeth Bergherr
Adaptive step-length selection in gradient boosting for Gaussian location and scale models. Comput. Stat. 37 (5) (2022)
David Rügamer, Philipp F. M. Baumann, Sonja Greven
Selective inference for additive and linear mixed models. Comput. Stat. Data Anal. 167 (2022)
Benjamin Säfken, David Rügamer, Thomas Kneib, Sonja Greven
Conditional Model Selection in Mixed-Effects Models with cAIC4. J. Stat. Softw. 99 (8) (2021)
Amanda Fernández-Fontelo, Pascal J. Kieslich, Felix Henninger, Frauke Kreuter, Sonja Greven
Predicting respondent difficulty in web surveys: A machine-learning approach based on mouse movement features. CoRR (2020)
David Rügamer, Sonja Greven
-Boosting. Stat. Comput. 30 (2) (2020)
Jona Cederbaum, Fabian Scheipl, Sonja Greven
Fast symmetric additive covariance smoothing. Comput. Stat. Data Anal. 120 (2018)
David Rügamer, Sonja Greven
-Boosting. CoRR (2018)
Sarah Brockhaus, Michael Melcher, Friedrich Leisch, Sonja Greven
Boosting flexible functional regression models with a high number of functional historical effects. Stat. Comput. 27 (4) (2017)
Andrada E. Ivanescu, Ana-Maria Staicu, Fabian Scheipl, Sonja Greven
Penalized function-on-function regression. Comput. Stat. 30 (2) (2015)
Karen Fuchs, Fabian Scheipl, Sonja Greven
Penalized scalar-on-functions regression with interaction term. Comput. Stat. Data Anal. 81 (2015)
Fabian Scheipl, Sonja Greven, Helmut Küchenhoff
Size and power of tests for a zero random effect variance or polynomial regression in additive and linear mixed models. Comput. Stat. Data Anal. 52 (7) (2008)