| Risk measures and upper probabilities: Coherence and stratification C Fröhlich, RC Williamson arXiv preprint arXiv:2206.03183, 2022 | 9 | 2022 |
| Tailoring to the tails: Risk measures for fine-grained tail sensitivity C Fröhlich, RC Williamson arXiv preprint arXiv:2208.03066, 2022 | 8 | 2022 |
| Teleconnection patterns of different El Niño types revealed by climate network curvature FM Strnad, J Schlör, C Fröhlich, B Goswami Geophysical Research Letters 49 (17), e2022GL098571, 2022 | 6 | 2022 |
| Bayesian quadrature on Riemannian data manifolds C Fröhlich, A Gessner, P Hennig, B Schölkopf, G Arvanitidis International Conference on Machine Learning, 3459-3468, 2021 | 4 | 2021 |
| Strictly frequentist imprecise probability C Fröhlich, R Derr, RC Williamson International Journal of Approximate Reasoning, 109148, 2024 | 2 | 2024 |
| Towards a strictly frequentist theory of imprecise probability C Fröhlich, R Derr, RC Williamson International Symposium on Imprecise Probability: Theories and Applications …, 2023 | 2 | 2023 |
| Data Models With Two Manifestations of Imprecision C Fröhlich, RC Williamson arXiv preprint arXiv:2404.09741, 2024 | | 2024 |
| Insights From Insurance for Fair Machine Learning: Responsibility, Performativity and Aggregates C Fröhlich, RC Williamson arXiv preprint arXiv:2306.14624, 2023 | | 2023 |
| Identifying patterns of teleconnections, a curvature-based network analysis J Schlör, FM Strnad, C Fröhlich, B Goswami EGU General Assembly Conference Abstracts, EGU22-7256, 2022 | | 2022 |
