Publications by Probability

Cooper, J. et al. (2022) “Topological analysis of credit data: preliminary findings”, in Proceedings of the 23rd International Conference on Intelligent Data Engineering and Automated Learning (IDEAL). Springer, pp. 432–442.

Bennett, S., Cucuringu, M. and Reinert, G. (2022) “Lead–lag detection and network clustering for multivariate time series with an application to the US equity market”, Machine Learning, 111(12), pp. 4497–4538.

Barton, N., Etheridge, A. and Véber, A. (2022) “The infinitesimal model with dominance”, arXiv.

Anastasiou, A. et al. (2022) “Stein’s method meets computational statistics: a review of some recent developments”, Statistical Science, 38(1), pp. 120–139.

Forman, N. et al. (2022) “Ranked masses in two-parameter Fleming-Viot diffusions”, Transactions of the American Mathematical Society, 376, pp. 1089–1111.

Fathi, M. et al. (2022) “Relaxing the Gaussian assumption in shrinkage and SURE in high dimension”, Annals of Statistics, 50(5), pp. 2737–2766.

Berestycki, J. et al. (2022) “Brownian bees in the infinite swarm limit”, Annals of Probability, 50(6), pp. 2133–2177.

Weckbecker, M., Xu, W. and Reinert, G. (2022) “On RKHS choices for assessing graph generators via kernel Stein statistics.”

Berestycki, J. et al. (2022) “A simple backward construction of branching Brownian motion with large displacement and applications”, Annales de l’Institut Henri Poincaré, Probabilités et Statistiques, 58(4), pp. 2094–2113.

Limnios, S. et al. (2022) “Random walk based conditional generative model for temporal networks with attributes ”, in Advances in Neural Information Processing Systems 36 (NeurIPS 2022). Neural Information Processing Systems Foundation.