2 citations · 5 across the 6 of their papers we have counts for
8 papers · 1 filter
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…
Classification ensembles for multivariate functional data with application to mouse movements in web surveys
Amanda Fernández-Fontelo, Felix Henninger, Pascal J. Kieslich +2
We propose new ensemble models for multivariate functional data classification as combinations of semi-metric-based weak learners. Our models extend current semi-metric-type method…
Multivariate Functional Additive Mixed Models
Alexander Volkmann, Almond Stöcker, Fabian Scheipl +1
Multivariate functional data can be intrinsically multivariate like movement trajectories in 2D or complementary like precipitation, temperature, and wind speeds over time at a giv…
Selective Inference for Additive and Linear Mixed Models
David Rügamer, Philipp F. M. Baumann, Sonja Greven
This work addresses the problem of conducting valid inference for additive and linear mixed models after model selection. One possible solution to overcome overconfident inference…
A General Framework for Multivariate Functional Principal Component Analysis of Amplitude and Phase Variation
Clara Happ, Fabian Scheipl, Alice-Agnes Gabriel +1
Functional data typically contains amplitude and phase variation. In many data situations, phase variation is treated as a nuisance effect and is removed during preprocessing, alth…
Boosting Functional Response Models for Location, Scale and Shape with an Application to Bacterial Competition
Almond Stöcker, Sarah Brockhaus, Sophia Schaffer +3
We extend Generalized Additive Models for Location, Scale, and Shape (GAMLSS) to regression with functional response. This allows us to simultaneously model point-wise mean curves,…