collaborators

5 papers

stat.AP2021

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…

stat.AP2020

Regional now- and forecasting for data reported with delay: Towards surveillance of COVID-19 infections

Giacomo De Nicola, Marc Schneble, Göran Kauermann +1

Governments around the world continue to act to contain and mitigate the spread of COVID-19. The rapidly evolving situation compels officials and executives to continuously adapt p…

stat.AP2020

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…

stat.ME2020

Intensity Estimation on Geometric Networks with Penalized Splines

Marc Schneble, Göran Kauermann

In the past decades, the growing amount of network data has lead to many novel statistical models. In this paper we consider so called geometric networks. Typical examples are road…

stat.AP2020

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…