Dr. Almond Stöcker receives the Gustav-Adolf-Lienert-Award 2024 for an outstanding biometric work of the German Region of the International Biometric Society
Dr. Almond Stöcker, formally a PhD student at our Chair (now postdoc at EFPL Lausanne), receives the Gustav-Adolf-Lienert-Award 2024 for an outstanding biometric work of the German Region of the International Biometric Society.
Almond Stöcker, Lisa Steyer and Sonja Greven (2023), Functional additive models on manifolds of planar shapes and forms. Journal of Computational and Graphical Statistics, to appear.
Abstract:
The “shape” of a planar curve and/or landmark configuration is considered its equivalence class under translation, rotation, and scaling, its “form” its equivalence class under translation and rotation while scale is preserved. We extend generalized additive regression to models for such shapes/forms as responses respecting the resulting quotient geometry by employing the squared geodesic distance as loss function and a geodesic response function to map the additive predictor to the shape/form space. For fitting the model, we propose a Riemannian L2-Boosting algorithm well suited for a potentially large number of possibly parameter-intensive model terms, which also yields automated model selection. We provide novel intuitively interpretable visualizations for (even nonlinear) covariate effects in the shape/form space via suitable tensor-product factorization. The usefulness of the proposed framework is illustrated in an analysis of (a) astragalus shapes of wild and domesticated sheep and (b) cell forms generated in a biophysical model, as well as (c) in a realistic simulation study with response shapes and forms motivated from a dataset on bottle outlines. Supplementary materials for this article are available online.