Göran Kauermann

research

∙ 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 ...

0 Giacomo De Nicola, et al. ∙

research

∙ 05/26/2023

Sources of Uncertainty in Machine Learning – A Statisticians' View

Machine Learning and Deep Learning have achieved an impressive standard ...

0 Cornelia Gruber, et al. ∙

research

∙ 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...

0 Martje Rave, et al. ∙

research

∙ 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...

0 Daniel Racek, et al. ∙

research

∙ 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...

0 Christoph Striegel, et al. ∙

research

∙ 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...

0 Benjamin Sischka, et al. ∙

research

∙ 10/26/2022

Statistical Network Data Analysis in Economics

Networks are ubiquitous in economic research on organizations, trade, an...

0 Giacomo De Nicola, et al. ∙

research

∙ 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...

0 Giacomo De Nicola, et al. ∙

research

∙ 05/30/2022

Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance?

Technological and computational advances continuously drive forward the ...

0 Christoph Koller, et al. ∙

research

∙ 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...

0 Cornelius Fritz, et al. ∙

research

∙ 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...

0 Nadja Klein, et al. ∙

research

∙ 03/24/2022

Stochastic Block Smooth Graphon Model

The paper proposes the combination of stochastic blockmodels with smooth...

0 Benjamin Sischka, et al. ∙

research

∙ 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...

0 Cornelius Fritz, et al. ∙

research

∙ 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...

0 Cornelius Fritz, et al. ∙

research

∙ 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...

0 Cornelius Fritz, et al. ∙

research

∙ 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...

0 Giacomo De Nicola, et al. ∙

research

∙ 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...

0 Marc Schneble, et al. ∙

research

∙ 01/15/2021

Matrix-free Penalized Spline Smoothing with Multiple Covariates

The paper motivates high dimensional smoothing with penalized splines an...

0 Julian Wagner, et al. ∙

research

∙ 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...

0 Cornelius Fritz, et al. ∙

research

∙ 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...

0 Cornelius Fritz, et al. ∙

research

∙ 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...

0 Giacomo De Nicola, et al. ∙

research

∙ 05/19/2020

Mixture Models and Networks – Overview of Stochastic Blockmodelling

Mixture models are probabilistic models aimed at uncovering and represen...

0 Giacomo De Nicola, et al. ∙

research

∙ 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...

0 Marc Schneble, et al. ∙

research

∙ 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...

0 Cornelius Fritz, et al. ∙

research

∙ 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...

0 Marc Schneble, et al. ∙

research

∙ 01/22/2020

Estimation of Latent Network Flows in Bike-Sharing Systems

Estimation of latent network flows is a common problem in statistical ne...

0 Marc Schneble, et al. ∙

research

∙ 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...

0 Sevag Kevork, et al. ∙

research

∙ 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...

0 Michael Lebacher, et al. ∙

research

∙ 09/02/2019

A smooth dynamic network model for patent collaboration data

The development and application of models, which take the evolution of n...

0 Verena Bauer, et al. ∙

research

∙ 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...

1 Cornelius Fritz, et al. ∙

research

∙ 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 ...

0 Michael Lebacher, et al. ∙

research

∙ 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...

0 Göran Kauermann, et al. ∙

research

∙ 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 ...

0 Michael Lebacher, et al. ∙

research

∙ 03/08/2018

Exploring Dependence Structures in the International Arms Trade Network

In the paper we analyse dependence structures among international trade ...

0 Michael Lebacher, et al. ∙

research

∙ 03/07/2018

International Arms Trade: A Dynamic Separable Network Model With Heterogeneity Components

We investigate data from the Stockholm International Peace Research Inst...

0 Michael Lebacher, et al. ∙

Göran Kauermann

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