Model-based Fréchet regression in (quotient) metric spaces with a focus on elastic curves.

Sonja Greven Humboldt University of Berlin, Germany https://www.wiwi.hu-berlin.de/en/Professorships/vwl/statistik/team/grevenso https://orcid.org/0000-0003-0495-850X

Lisa Steyer Almond Stöcker Sonja Greven Model-based Fréchet regression in (quotient) metric spaces with a focus on elastic curves. 105515 2026 211 J. Multivar. Anal. https://doi.org/10.1016/j.jmva.2025.105515 db/journals/ma/ma211.html#SteyerSG26 streams/journals/ma

Ailin Liu Francesco Chiossi Felix Henninger Lisa Bondo Andersen Tobias Wistuba Sonja Greven Frauke Kreuter Fiona Draxler Physiological and Behavioral Modeling of Stress and Cognitive Load in Web-Based Question Answering. 2026 January abs/2601.17890 CoRR https://doi.org/10.48550/arXiv.2601.17890 db/journals/corr/corr2601.html#abs-2601-17890 streams/journals/corr

Vanessa Emanuela Guarino Claudia Winklmayr Jannik Franzen Josef Lorenz Rumberger Manuel Pfeuffer Sonja Greven Klaus H. Maier-Hein Carsten T. Lüth Christoph Karg Dagmar Kainmueller Better than Average: Spatially-Aware Aggregation of Segmentation Uncertainty Improves Downstream Performance. 2026 March abs/2603.29941 CoRR https://doi.org/10.48550/arXiv.2603.29941 db/journals/corr/corr2603.html#abs-2603-29941 streams/journals/corr

Marco Simnacher Xiangnan Xu Hani Park Christoph Lippert Sonja Greven Deep Nonparametric Conditional Independence Tests for Images. 2024 abs/2411.06140 CoRR https://doi.org/10.48550/arXiv.2411.06140 db/journals/corr/corr2411.html#abs-2411-06140 streams/journals/corr

Almond Stöcker Lisa Steyer Sonja Greven Functional Additive Models on Manifolds of Planar Shapes and Forms. 1600-1612 2023 32 J. Comput. Graph. Stat. 4 https://doi.org/10.1080/10618600.2023.2175687 db/journals/jcgs/jcgs32.html#StockerSG23

David Rügamer Philipp F. M. Baumann Sonja Greven Selective inference for additive and linear mixed models. 107350 2022 167 Comput. Stat. Data Anal. https://doi.org/10.1016/j.csda.2021.107350 https://www.wikidata.org/entity/Q108863848 db/journals/csda/csda167.html#RugamerBG22

Boyao Zhang Tobias Hepp 0001 Sonja Greven Elisabeth Bergherr Adaptive step-length selection in gradient boosting for Gaussian location and scale models. 2295-2332 2022 37 Comput. Stat. 5 https://doi.org/10.1007/s00180-022-01199-3 db/journals/cstat/cstat37.html#ZhangHGB22

Benjamin Säfken David Rügamer Thomas Kneib Sonja Greven Conditional Model Selection in Mixed-Effects Models with cAIC4. 2021 99 J. Stat. Softw. 8 https://doi.org/10.18637/jss.v099.i08 db/journals/jstatsoft/jstatsoft99.html#SafkenRKG21

David Rügamer Sonja Greven Inference for L<sub>2</sub>-Boosting. 279-289 2020 30 Stat. Comput. 2 https://doi.org/10.1007/s11222-019-09882-0 db/journals/sac/sac30.html#RugamerG20

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. 2020 abs/2011.06916 CoRR https://arxiv.org/abs/2011.06916 db/journals/corr/corr2011.html#abs-2011-06916

Jona Cederbaum Fabian Scheipl Sonja Greven Fast symmetric additive covariance smoothing. 25-41 2018 120 Comput. Stat. Data Anal. https://doi.org/10.1016/j.csda.2017.11.002 db/journals/csda/csda120.html#CederbaumSG18

David Rügamer Sonja Greven Valid Inference for L<sub>2</sub>-Boosting. 2018 abs/1805.01852 CoRR http://arxiv.org/abs/1805.01852 db/journals/corr/corr1805.html#abs-1805-01852

Sarah Brockhaus Michael Melcher Friedrich Leisch Sonja Greven Boosting flexible functional regression models with a high number of functional historical effects. 913-926 2017 27 Stat. Comput. 4 https://doi.org/10.1007/s11222-016-9662-1 https://www.wikidata.org/entity/Q57066212 db/journals/sac/sac27.html#BrockhausMLG17

Karen Fuchs Fabian Scheipl Sonja Greven Penalized scalar-on-functions regression with interaction term. 38-51 2015 81 Comput. Stat. Data Anal. https://doi.org/10.1016/j.csda.2014.07.001 db/journals/csda/csda81.html#FuchsSG15

Andrada E. Ivanescu Ana-Maria Staicu Fabian Scheipl Sonja Greven Penalized function-on-function regression. 539-568 2015 30 Comput. Stat. 2 https://doi.org/10.1007/s00180-014-0548-4 https://www.wikidata.org/entity/Q57437279 db/journals/cstat/cstat30.html#IvanescuSSG15

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. 3283-3299 2008 52 Comput. Stat. Data Anal. 7 https://doi.org/10.1016/j.csda.2007.10.022 db/journals/csda/csda52.html#ScheiplGK08

Lisa Bondo Andersen Philipp F. M. Baumann Elisabeth Bergherr Sarah Brockhaus Jona Cederbaum Francesco Chiossi Fiona Draxler Amanda Fernández-Fontelo Jannik Franzen Karen Fuchs Vanessa Emanuela Guarino Felix Henninger Tobias Hepp 0001 Andrada E. Ivanescu Dagmar KainmüllerDagmar Kainmueller Christoph Karg Pascal J. Kieslich Thomas Kneib Frauke Kreuter Helmut Küchenhoff Friedrich Leisch Christoph Lippert Ailin Liu Carsten T. Lüth Klaus H. Maier-Hein Michael Melcher Hani Park Manuel Pfeuffer David Rügamer Josef Lorenz Rumberger Benjamin Säfken Fabian Scheipl Marco Simnacher Ana-Maria Staicu Lisa Steyer Almond Stöcker Claudia Winklmayr Tobias Wistuba Xiangnan Xu Boyao Zhang