10 citations · 12 across the 4 of their papers we have counts for
4 papers
Capturing Aleatoric Uncertainty in Climate Models
Cornelia Gruber, Henri Funk, Magdalena Mittermeier +2
Internal climate variability arises from the climate system's inherently chaotic dynamics. Quantifying it is essential for climate science, as it enables risk-based decision-making…
Multi-state Models For Disease Histories Based On Longitudinal Data
Simon Wiegrebe, Johannes Piller, Mathias Gorski +4
Multi-stage disease histories derived from longitudinal data are becoming increasingly available as registry data and biobanks expand. Multi-state models are suitable to investigat…
Statistical modelling of COVID-19 data: Putting Generalised Additive Models to work
Cornelius Fritz, Giacomo De Nicola, Martje Rave +5
Over the course of the COVID-19 pandemic, Generalised Additive Models (GAMs) have been successfully employed on numerous occasions to obtain vital data-driven insights. In this pap…
Registration for Incomplete Non-Gaussian Functional Data
Alexander Bauer, Fabian Scheipl, Helmut Küchenhoff +1
Accounting for phase variability is a critical challenge in functional data analysis. To separate it from amplitude variation, functional data are registered, i.e., their observed…