| Combining graph neural networks and spatio-temporal disease models to improve the prediction of weekly COVID-19 cases in Germany C Fritz, E Dorigatti, D Rügamer Scientific Reports 12 (1), 3930, 2022 | 60 | 2022 |
| On the interplay of regional mobility, social connectedness, and the spread of covid-19 in germany C Fritz, G Kauermann Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2022 | 31 | 2022 |
| Tempus volat, hora fugit: A survey of tie‐oriented dynamic network models in discrete and continuous time C Fritz, M Lebacher, G Kauermann Statistica Neerlandica 74 (3), 275-299, 2020 | 25 | 2020 |
| Reihentestungen an Schulen können die Dunkelziffer von COVID-19 Infektionen unter Schülern signifikant senken U Berger, C Fritz, G Kauermann Das Gesundheitswesen 84 (06), 495-502, 2022 | 13* | 2022 |
| Separable and semiparametric network-based counting processes applied to the international combat aircraft trades C Fritz, PW Thurner, G Kauermann Network Science 9 (3), 291-311, 2021 | 12 | 2021 |
| Deepregression: a flexible neural network framework for semi-structured deep distributional regression D Rügamer, C Kolb, C Fritz, F Pfisterer, B Bischl, R Shen, C Bukas, ... Journal of Statistical Software 105 (2), 2023 | 9 | 2023 |
| The role of governmental weapons procurements in forecasting monthly fatalities in intrastate conflicts: A semiparametric hierarchical hurdle model C Fritz, M Mehrl, PW Thurner, G Kauermann International Interactions 48 (4), 778-799, 2022 | 9 | 2022 |
| Exponential random graph models for dynamic signed networks: An application to international relations C Fritz, M Mehrl, PW Thurner Political Analysis (in print), 2024 | 4 | 2024 |
| Statistical modelling of covid-19 data: Putting generalised additive models to work C Fritz, G De Nicola, M Rave, M Weigert, Y Khazaei, U Berger, ... Statistical Modelling, 2022 | 4 | 2022 |
| Dependence matters: Statistical models to identify the drivers of tie formation in economic networks G De Nicola, C Fritz, M Mehrl, G Kauermann Journal of Economic Behavior & Organization, 2023 | 3 | 2023 |
| Modelling the large and dynamically growing bipartite network of German patents and inventors C Fritz, G De Nicola, S Kevork, D Harhoff, G Kauermann Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2023 | 2 | 2023 |
| Food antigen-specific IgE in dogs with suspected food hypersensitivity SA Baumann, C Fritz, RS Mueller Tierärztliche Praxis Ausgabe K: Kleintiere/Heimtiere 48 (06), 395-402, 2020 | 2 | 2020 |
| 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 M Schweinberger, C Fritz Journal of the American Statistical Association 118 (544), 2225-2227, 2023 | 1 | 2023 |
| Challenges in interpreting epidemiological surveillance data–experiences from Germany C Fritz, G De Nicola, F Günther, D Rügamer, M Rave, M Schneble, ... Journal of Computational and Graphical Statistics 32 (3), 765-766, 2023 | 1 | 2023 |
| All that glitters is not gold: Relational events models with spurious events C Fritz, M Mehrl, PW Thurner, G Kauermann Network Science 11 (2), 184-204, 2023 | 1 | 2023 |
| A Strategic Model of Software Dependency Networks C Fritz, CP Georg, A Mele, M Schweinberger arXiv preprint arXiv:2402.13375, 2024 | | 2024 |
| Statistical approaches to dynamic networks in society C Fritz LMU Munich, 2022 | | 2022 |
Goeran KauermannLudwig-Maximilians-University MunichBestätigte E-Mail-Adresse bei lmu.de
