1 citations · 2 across the 6 of their papers we have counts for
9 papers · 1 filter
On assessing excess mortality in Germany during the COVID-19 pandemic
Giacomo De Nicola, Göran Kauermann, Michael Höhle
Coronavirus disease 2019 (COVID-19) is associated with a very high number of casualties in the general population. Assessing the exact magnitude of this number is a non-trivial pro…
Statistical modeling of on-street parking lot occupancy in smart cities
Marc Schneble, Göran Kauermann
Many studies suggest that searching for parking is associated with significant direct and indirect costs. Therefore, it is appealing to reduce the time which car drivers spend on f…
Nowcasting fatal COVID-19 infections on a regional level in Germany
Marc Schneble, Giacomo De Nicola, Göran Kauermann +1
We analyse the temporal and regional structure in mortality rates related to COVID-19 infections. We relate the fatality date of each deceased patient to the corresponding day of r…
Estimation of Latent Network Flows in Bike-Sharing Systems
Marc Schneble, Göran Kauermann
Estimation of latent network flows is a common problem in statistical network analysis. The typical setting is that we know the margins of the network, i.e. in- and outdegrees, but…
A smooth dynamic network model for patent collaboration data
Verena Bauer, Dietmar Harhoff, Göran Kauermann
The development and application of models, which take the evolution of network dynamics into account are receiving increasing attention. We contribute to this field and focus on a…
Censored Regression for Modelling International Small Arms Trading and its "Forensic" Use for Exploring Unreported Trades
Michael Lebacher, Paul W. Thurner, Göran Kauermann
In this paper we use a censored regression model to investigate data on the international trade of small arms and ammunition (SAA) provided by the Norwegian Initiative on Small Arm…