Dr. Cornelius Fritz

Assistant Professor, School Office - Computer Science & Stats

fritzc@tcd.ie https://www.corneliusfritz.com

Publications and Further Research Outputs

Peer-Reviewed Publications

Håvard Hegre and ... and Cornelius Fritz ..., The 2023/24 VIEWS Prediction Challenge: Predicting the Number of Fatalities in Armed Conflict, with Uncertainty, Journal of Peace Research, 2025Journal Article, 2025, URL
Cornelius Fritz, Marius Mehrl, Paul W. Thurner, Göran Kauermann, The role of governmental weapons procurements in forecasting monthly fatalities in intrastate conflicts: A semiparametric hierarchical hurdle model, International Interactions, 2022Journal Article, 2022, DOI
Cornelius Fritz, Paul W. Thurner, Göran Kauermann, Separable and semiparametric network-based counting processes applied to the international combat aircraft trades, Network Science, 2021, p1--21Journal Article, 2021, DOI
Kook Lucas, Schiele Philipp, Kolb Chris, Dold Daniel, Arpogaus Marcel, Fritz Cornelius, Baumann Philipp, Kopper Philipp, Pielok Tobias, Dorigatti Emilio, Rügamer David, Can inverse conditional flows serve as a substitute for distributional regression model in statistics?, Conference on Uncertainty in Artificial Intelligence (UAI), 2024Journal Article, 2024
Fritz Cornelius, Mehrl Marius, Thurner Paul W., Kauermann Göran, Exponential random graph models for dynamic signed networks: An application to international relations, Political Analysis, in print, 2025Journal Article, 2025, DOI
De Nicola Giacomo, Fritz Cornelius, Mehrl Marius, Kauermann Göran, Dependence matters: Statistical models to identify the drivers of tie formation in economic networks, Journal of Economic Behavior & Organization, 215, 2023, p351 - 363Journal Article, 2023
Fritz Cornelius, De Nicola Giacomo, Kevorg Sevag, Harhoff Dietmar, Kauermann Göran, Modelling the large and dynamically growing bipartite network of German patents and inventors, Journal of the Royal Statistical Society. Series A (Statistics in Society), 186, (3), 2023, p557 - 576Journal Article, 2023
Rügamer David, Kolb Chris, Fritz Cornelius, Pfisterer Florian, Bischl Bernd, Shen Ruolin, Bukas Christina, de Andrade e Sousa Lisa Barros, Thalmeier Dominik, Baumann Philipp, Klein Nadja, Müller Christian L., deepregression: a flexible neural network framework for semi-structured deep distributional regression, Journal of Statistical Software, 105, (2), 2023, p1 - 31Journal Article, 2023
Fritz Cornelius, Mehrl Marius, Thurner Paul W., Kauermann Göran, All that glitters is not gold: Relational events models with spurious events, Network Science, 11, (Special Issue 2), 2023Journal Article, 2023
Fritz Cornelius, De Nicola Giacomo, Rave Martje, Weigert Maximilian, Berger Ursula, Küchenhoff Helmut, Kauermann Göran, Statistical modelling of COVID-19 data: Putting generalised additive models to work, Statistical Modelling, (OnlineFirst), 2022Journal Article, 2022
Fritz Cornelius, Dorigatti Emilio, Rügamer David, Combining graph neural networks and spatio-temporal disease models to predict COVID-19 cases in Germany, Scientific Reports, 3930, (12), 2022, p1 - 18Journal Article, 2022
Fritz Cornelius, Kauermann Göran, On the interplay of regional mobility, social connectedness, and the spread of COVID-19 in Germany, Journal of the Royal Statistical Society. Series A (Statistics in Society), 185, (1), 2022, p400 - 424Journal Article, 2022
Fritz Cornelius, Lebacher Michael, Kauermann Göran, Tempus volat, hora fugit: A survey of tie-oriented dynamic network models in discrete and continuous time, Statistica Neerlandica, 74, (3), 2020, p275 - 299Journal Article, 2020
Baumann Sandra A., Fritz Cornelius, Mueller Ralf S., Food antigen-specific IgE in dogs with suspected food hypersensitivity, Tierärztliche Praxis. Ausgabe K, Kleintiere/Heimtiere, 48, (6), 2020, p395 - 402Journal Article, 2020
Fritz Cornelius, De Nicola G., Günther F., Rügamer D., Rave M., Schneble M., Bender A., Weigert M., Brinks R., Hoyer A., Berger U., Küchenhoff H., Kauermann G., Challenges in interpreting epidemiological surveillance data - Experiences from Germany, Journal of Computational and Graphical Statistics, 3, 2023Journal Article, 2023
Schweinberger Michael, Fritz Cornelius, Discussion of "A tale of two datasets: Representativeness and generalisability of inference for samples of networks" by Pavel N. Krivitsky, Pietro Coletti, and Niel Hens, Journal of the American Statistical Association, (OnlineFirst), 2023, p1 - 5Journal Article, 2023
Fritz Cornelius, Dworschak Christoph, Mehrl Marius, Predicting uncertainty in stages: Using a semiparametric hierarchical hurdle model for predicting distributions of conflict fatalities , 2024, -Miscellaneous, 2024
Berger Ursula, Fritz Cornelius, Kauermann Göran, Reihentestungen an Schulen können die Dunkelziffer von COVID-19 Infektionen unter Schülern signifikant senken (english translation: Mandatory testing in schools can significantly reduce underreporting of COVID-19 infections among students with in-Class teaching compared to home schooling), Das Gesundheitswesen, 84, (6), 2022, p495 - 502Journal Article, 2022
Fritz Cornelius, Schweinberger Michael, Bhadra Subhankar, Hunter David R., A regression framework for studying relationships among attributes under network interference , ArXiv e-prints , 2024Journal Article, 2024
Espinosa-Rada Alejandro, Lerner Jürgen, Fritz Cornelius, Socio-cognitive networks between researchers , ArXiv e-prints , 2024Journal Article, 2024
Fritz Cornelius, Georg Co-Pierre, Mele Angelo, Schweinberger Michael, A strategic model of software dependency networks , ArXiv e-prints , 2024Journal Article, 2024

Best Master Thesis Award - Department of Statistics 2019
Core-member of CAS Focus Group on Policies for the Prevention of Conflict 2022
Best Dissertation Award - Ludwig Maximilian University of Munich 2023
Member of LMU Mentoring Program 2022
Munich Center for Machine Learning (MCML) Certificate 2023
Postdoc Travel Award - Pennsylvania State University 2023
Best Poster Award - DAGSTAT 2022

American Statistical Association
German Statistical Association (DStatG)