activity
20122023
most citedMultivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains

370 citations · 556 across the 23 of their papers we have counts for

collaborators

32 papers

stat.ME2023★ 1 cited

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…

stat.ME2022

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…

stat.ME2022

Elastic Full Procrustes Analysis of Plane Curves via Hermitian Covariance Smoothing

Almond Stöcker, Manuel Pfeuffer, Lisa Steyer +1

Determining the mean shape of a collection of curves is not a trivial task, in particular when curves are only irregularly/sparsely sampled at discrete points. We newly propose an…

stat.AP2022★ 1 cited

Generalised functional additive mixed models with compositional covariates for areal Covid-19 incidence curves

Matthias Eckardt, Jorge Mateu, Sonja Greven

We extend the generalised functional additive mixed model to include (functional) compositional covariates carrying relative information of a whole. Relying on the isometric isomor…

stat.AP2021

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…

stat.ME2021★ 1 cited

Additive Density-on-Scalar Regression in Bayes Hilbert Spaces with an Application to Gender Economics

Eva-Maria Maier, Almond Stöcker, Bernd Fitzenberger +1

Motivated by research on gender identity norms and the distribution of the woman's share in a couple's total labor income, we consider functional additive regression models for pro…