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Matrix-free Penalized Spline Smoothing with Multiple Covariates
The paper motivates high dimensional smoothing with penalized splines an...
01/15/2021 ∙ by Julian Wagner, et al. ∙
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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...
12/15/2020 ∙ by Cornelius Fritz, et al. ∙
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On the Interplay of Regional Mobility, Social Connectedness, and the Spread of COVID-19 in Germany
Since the primary mode of respiratory virus transmission is person-to-pe...
08/07/2020 ∙ by Cornelius Fritz, et al. ∙
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Regional now- and forecasting for data reported with delay: A case study in COVID-19 infections
Governments around the world continue to act to contain and mitigate the...
07/31/2020 ∙ by Giacomo De Nicola, et al. ∙
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Mixture Models and Networks – Overview of Stochastic Blockmodelling
Mixture models are probabilistic models aimed at uncovering and represen...
05/19/2020 ∙ by Giacomo De Nicola, et al. ∙
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Nowcasting fatal COVID-19 infections on a regional level in Germany
We analyse the temporal and regional structure in mortality rates relate...
05/15/2020 ∙ by Marc Schneble, et al. ∙
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Separable and Semiparametric Network-based Counting Processes applied to the International Combat Aircraft Trades
We propose a novel tie-oriented model for longitudinal event network dat...
03/26/2020 ∙ by Cornelius Fritz, et al. ∙
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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...
02/24/2020 ∙ by Marc Schneble, et al. ∙
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Estimation of Latent Network Flows in Bike-Sharing Systems
Estimation of latent network flows is a common problem in statistical ne...
01/22/2020 ∙ by Marc Schneble, et al. ∙
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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...
11/06/2019 ∙ by Sevag Kevork, et al. ∙
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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...
09/03/2019 ∙ by Michael Lebacher, et al. ∙
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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...
09/02/2019 ∙ by Verena Bauer, et al. ∙
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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...
05/23/2019 ∙ by Cornelius Fritz, et al. ∙
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Regression-based Network Reconstruction with Nodal and Dyadic Covariates and Random Effects
Network (or matrix) reconstruction is a general problem which occurs if ...
03/28/2019 ∙ by Michael Lebacher, et al. ∙
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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...
03/16/2019 ∙ by Göran Kauermann, et al. ∙
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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 ...
02/25/2019 ∙ by Michael Lebacher, et al. ∙
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Exploring Dependence Structures in the International Arms Trade Network
In the paper we analyse dependence structures among international trade ...
03/08/2018 ∙ by Michael Lebacher, et al. ∙
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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...
03/07/2018 ∙ by Michael Lebacher, et al. ∙
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