3 papers
q-bio.PE2021
Estimating the course of the COVID-19 pandemic in Germany via spline-based hierarchical modelling of death counts
Tobias Wistuba, Andreas Mayr, Christian Staerk
The effective reproduction number is a key figure to monitor the course of the COVID-19 pandemic. In this study we consider a retrospective modelling approach for estimating the ef…
q-bio.PE2020
Estimating effective infection fatality rates during the course of the COVID-19 pandemic in Germany
Christian Staerk, Tobias Wistuba, Andreas Mayr
The infection fatality rate (IFR) of the Coronavirus Disease 2019 (COVID-19) is one of the most discussed figures in the context of this pandemic. Using German COVID-19 surveillanc…
stat.CO2019
High-dimensional variable selection via low-dimensional adaptive learning
Christian Staerk, Maria Kateri, Ioannis Ntzoufras
A stochastic search method, the so-called Adaptive Subspace (AdaSub) method, is proposed for variable selection in high-dimensional linear regression models. The method aims at fin…