40 citations · 162 across the 22 of their papers we have counts for
7 papers · 1 filter
The Role of Governmental Weapons Procurements in Forecasting Monthly Fatalities in Intrastate Conflicts: A Semiparametric Hierarchical Hurdle Model
Cornelius Fritz, Marius Mehrl, Paul W. Thurner +1
Accurate and interpretable forecasting models predicting spatially and temporally fine-grained changes in the numbers of intrastate conflict casualties are of crucial importance fo…
On the Interplay of Regional Mobility, Social Connectedness, and the Spread of COVID-19 in Germany
Cornelius Fritz, Göran Kauermann
Since the primary mode of respiratory virus transmission is person-to-person interaction, we are required to reconsider physical interaction patterns to mitigate the number of peop…
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…
Separable and Semiparametric Network-based Counting Processes applied to the International Combat Aircraft Trades
Cornelius Fritz, Paul W. Thurner, Göran Kauermann
We propose a novel tie-oriented model for longitudinal event network data. The generating mechanism is assumed to be a multivariate Poisson process that governs the onset and repet…
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…
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…