46 citations · 46 across the 3 of their papers we have counts for
4 papers
Regression in quotient metric spaces with a focus on elastic curves
Lisa Steyer, Almond Stöcker, Sonja Greven
We propose regression models for curve-valued responses in two or more dimensions, where only the image but not the parametrization of the curves is of interest. Examples of such d…
Navigating the corporate disclosure gap: Modelling of Missing Not at Random Carbon Data
Malgorzata Olesiewicz, Jaakko Kooroshy, Sonja Greven
Corporate carbon emissions data is disclosed by approximately 65% of large and mid-sized companies globally, despite being a key indicator of corporate climate performance. With in…
Flexible Bayesian additive joint models with an application to type 1 diabetes research
Meike Köhler, Nikolaus Umlauf, Andreas Beyerlein +3
The joint modeling of longitudinal and time-to-event data is an important tool of growing popularity to gain insights into the association between a biomarker and an event process.…
Longitudinal high-dimensional principal components analysis with application to diffusion tensor imaging of multiple sclerosis
Vadim Zipunnikov, Sonja Greven, Haochang Shou +3
We develop a flexible framework for modeling high-dimensional imaging data observed longitudinally. The approach decomposes the observed variability of repeatedly measured high-dim…