Publications by Probability

Zhang, R. and Reinert, G. (2024) “Simulating Weak Attacks in a New Duplication–Divergence Model with Node Loss”, Entropy, 26(10), p. 813.

Berestycki, J. et al. (2024) “The Yaglom limit for branching Brownian motion with absorption and slightly subcritical drift”, arXiv.

Aminian, G. et al. (2024) “Generalization error of graph neural networks in the mean-field regime”, in Proceedings of the 41st International Conference on Machine Learning (ICML 2024). Proceedings of Machine Learning Research, pp. 1359–1391.

Clarkson, J. et al. (2024) “Split Conformal Prediction under Data Contamination”, arXiv.

Berestycki, J. and Tough, O. (2024) “Selection principle for the $N$-BBM”, arXiv.

Jaggi, H., Steinsaltz, D. and Tuljapurkar, S. (2024) “Temporal variability can promote migration between habitats”, Theoretical Population Biology, 158, pp. 195–205.

Lu, Y., Reinert, G. and Cucuringu, M. (2024) “Trade co-occurrence, trade flow decomposition, and conditional order imbalance in equity markets”, Quantitative Finance, 24(6), pp. 779–809.

Armbruster, S. and Reinert, G. (2024) “Network-based time series modeling for COVID-19 incidence in the Republic of Ireland”, Applied Network Science, 9(1).

Patten, H., Anderson Loake, M. and Steinsaltz, D. (2024) “Data-Driven Earthquake Multi-impact Modeling: A Comparison of Models”, International Journal of Disaster Risk Science, 15(3), pp. 421–433.

Berestycki, J. et al. (2024) “Phase transition of the consistent maximal displacement of branching Brownian motion”, arXiv.