
Matrixfree Penalized Spline Smoothing with Multiple Covariates
The paper motivates high dimensional smoothing with penalized splines an...
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The Role of Governmental Weapons Procurements in Forecasting Monthly Fatalities in Intrastate Conflicts: A Semiparametric Hierarchical Hurdle Model
Accurate and interpretable forecasting models predicting spatially and t...
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On the Interplay of Regional Mobility, Social Connectedness, and the Spread of COVID19 in Germany
Since the primary mode of respiratory virus transmission is persontope...
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Regional now and forecasting for data reported with delay: A case study in COVID19 infections
Governments around the world continue to act to contain and mitigate the...
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Mixture Models and Networks – Overview of Stochastic Blockmodelling
Mixture models are probabilistic models aimed at uncovering and represen...
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Nowcasting fatal COVID19 infections on a regional level in Germany
We analyse the temporal and regional structure in mortality rates relate...
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Separable and Semiparametric Networkbased Counting Processes applied to the International Combat Aircraft Trades
We propose a novel tieoriented model for longitudinal event network dat...
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Intensity Estimation on Geometric Networks with Penalized Splines
In the past decades, the growing amount of network data has lead to many...
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Estimation of Latent Network Flows in BikeSharing Systems
Estimation of latent network flows is a common problem in statistical ne...
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Iterative Estimation of Mixed Exponential Random Graph Models with Nodal Random Effects
The presence of unobserved node specific heterogeneity in Exponential Ra...
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In Search of Lost Edges: A Case Study on Reconstructing Financial Networks
To capture the systemic complexity of international financial systems, n...
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A smooth dynamic network model for patent collaboration data
The development and application of models, which take the evolution of n...
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Tempus Volat, Hora Fugit  A Survey of Dynamic Network Models in Discrete and Continuous Time
Given the growing number of available tools for modeling dynamic network...
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Regressionbased Network Reconstruction with Nodal and Dyadic Covariates and Random Effects
Network (or matrix) reconstruction is a general problem which occurs if ...
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Bayesian and Spline based Approaches for (EM based) Graphon Estimation
The paper proposes the estimation of a graphon function for network data...
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Censored Regression for Modelling International Small Arms Trading and its "Forensic" Use for Exploring Unreported Trades
In this paper we use a censored regression model to analyse data on the ...
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Exploring Dependence Structures in the International Arms Trade Network
In the paper we analyse dependence structures among international trade ...
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International Arms Trade: A Dynamic Separable Network Model With Heterogeneity Components
We investigate data from the Stockholm International Peace Research Inst...
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Göran Kauermann
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