1 citations · 2 across the 6 of their papers we have counts for
14 papers
Modelling the large and dynamically growing bipartite network of German patents and inventors
Cornelius Fritz, Giacomo De Nicola, Sevag Kevork +2
We analyse the bipartite dynamic network of inventors and patents registered within the main area of electrical engineering in Germany to explore the driving forces behind innovati…
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…
Matrix-free Penalized Spline Smoothing with Multiple Covariates
Julian Wagner, Göran Kauermann, Ralf Münnich
The paper motivates high dimensional smoothing with penalized splines and its numerical calculation in an efficient way. If smoothing is carried out over three or more covariates t…
Mixture Models and Networks -- Overview of Stochastic Blockmodelling
Giacomo De Nicola, Benjamin Sischka, Göran Kauermann
Mixture models are probabilistic models aimed at uncovering and representing latent subgroups within a population. In the realm of network data analysis, the latent subgroups of no…
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…