Sonja Greven

According to our database, Sonja Greven authored at least 11 papers between 2008 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Adaptive step-length selection in gradient boosting for Gaussian location and scale models.

Boyao Zhang, Tobias Hepp, Sonja Greven, Elisabeth Bergherr

Comput. Stat., 2022

Selective inference for additive and linear mixed models.

David Rügamer, Philipp F. M. Baumann, Sonja Greven

Comput. Stat. Data Anal., 2022

2021

Conditional Model Selection in Mixed-Effects Models with cAIC4.

Benjamin Säfken, David Rügamer, Thomas Kneib, Sonja Greven

J. Stat. Softw., 2021

2020

Inference for L₂-Boosting.

David Rügamer, Sonja Greven

Stat. Comput., 2020

Predicting respondent difficulty in web surveys: A machine-learning approach based on mouse movement features.

Amanda Fernández-Fontelo, Pascal J. Kieslich, Felix Henninger, Frauke Kreuter, Sonja Greven

CoRR, 2020

2018

Fast symmetric additive covariance smoothing.

Jona Cederbaum, Fabian Scheipl, Sonja Greven

Comput. Stat. Data Anal., 2018

Valid Inference for L₂-Boosting.

David Rügamer, Sonja Greven

CoRR, 2018

2017

Boosting flexible functional regression models with a high number of functional historical effects.

Sarah Brockhaus, Michael Melcher, Friedrich Leisch, Sonja Greven

Stat. Comput., 2017

2015

Penalized function-on-function regression.

Andrada E. Ivanescu, Ana-Maria Staicu, Fabian Scheipl, Sonja Greven

Comput. Stat., 2015

Penalized scalar-on-functions regression with interaction term.

Karen Fuchs, Fabian Scheipl, Sonja Greven

Comput. Stat. Data Anal., 2015

2008

Size and power of tests for a zero random effect variance or polynomial regression in additive and linear mixed models.

Fabian Scheipl, Sonja Greven, Helmut Küchenhoff

Comput. Stat. Data Anal., 2008