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09/04/2023
Categorising the World into Local Climate Zones – Towards Quantifying Labelling Uncertainty for Machine Learning Models
Image classification is often prone to labelling uncertainty. To generat...
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05/30/2023
Estimating excess mortality in high-income countries during the COVID-19 pandemic
Quantifying the number of deaths caused by the COVID-19 crisis has been ...
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05/26/2023
Sources of Uncertainty in Machine Learning – A Statisticians' View
Machine Learning and Deep Learning have achieved an impressive standard ...
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05/24/2023
The Skellam Distribution revisited -Estimating the unobserved incoming and outgoing ICU COVID-19 patients on a regional level in Germany
With the beginning of the COVID-19 pandemic, we became aware of the need...
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05/04/2023
The Politics of Language Choice: How the Russian-Ukrainian War Influences Ukrainians' Language Use on Twitter
The use of language is innately political and often a vehicle of cultura...
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05/02/2023
Weighted high dimensional data reduction of finite Element Features – An Application on High Pressure of an Abdominal Aortic Aneurysm
In this work we propose a low rank approximation of high fidelity finite...
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03/28/2023
Nonparametric Two-Sample Test for Networks Using Joint Graphon Estimation
This paper focuses on the comparison of networks on the basis of statist...
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10/26/2022
Statistical Network Data Analysis in Economics
Networks are ubiquitous in economic research on organizations, trade, an...
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07/27/2022
Exploring the latent social space of COVID-19 Twitter elites
Within the context of the COVID-19 Infodemic, popular social media users...
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05/30/2022
Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance?
Technological and computational advances continuously drive forward the ...
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05/24/2022
Exponential Random Graph Models for Dynamic Signed Networks: An Application to International Relations
Substantive research in the Social Sciences regularly investigates signe...
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04/29/2022
Incorporating Actor Heterogeneity into Large Network Models through Variational Approximations
The analysis of network data has gained considerable interest in the rec...
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03/24/2022
Stochastic Block Smooth Graphon Model
The paper proposes the combination of stochastic blockmodels with smooth...
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01/20/2022
Modelling the large and dynamically growing bipartite network of German patents and inventors
We analyse the bipartite dynamic network of inventors and patents regist...
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01/04/2022
Statistical modelling of COVID-19 data: Putting Generalised Additive Models to work
Over the course of the COVID-19 pandemic, Generalised Additive Models (G...
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09/06/2021
All that Glitters is not Gold: Modeling Relational Events with Measurement Errors
As relational event models are an increasingly popular model for studyin...
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06/25/2021
On assessing excess mortality in Germany during the COVID-19 pandemic
Coronavirus disease 2019 (COVID-19) is associated with a very high numbe...
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06/11/2021
Statistical modeling of on-street parking lot occupancy in smart cities
Many studies suggest that searching for parking is associated with signi...
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01/15/2021
Matrix-free Penalized Spline Smoothing with Multiple Covariates
The paper motivates high dimensional smoothing with penalized splines an...
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12/15/2020
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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08/07/2020
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...
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07/31/2020
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...
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05/19/2020
Mixture Models and Networks – Overview of Stochastic Blockmodelling
Mixture models are probabilistic models aimed at uncovering and represen...
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05/15/2020
Nowcasting fatal COVID-19 infections on a regional level in Germany
We analyse the temporal and regional structure in mortality rates relate...
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03/26/2020
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...
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02/24/2020
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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01/22/2020
Estimation of Latent Network Flows in Bike-Sharing Systems
Estimation of latent network flows is a common problem in statistical ne...
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11/06/2019
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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09/03/2019
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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09/02/2019
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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05/23/2019
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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03/28/2019
Regression-based 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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03/16/2019
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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02/25/2019
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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03/08/2018
Exploring Dependence Structures in the International Arms Trade Network
In the paper we analyse dependence structures among international trade ...
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03/07/2018