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Publications by Probability

Xu, W. and Reinert, G. (2022) “AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators”, in Advances in Neural Information Processing Systems.
Ernst, M., Reinert, G. and Swan, Y. (2022) “On Papathanasiou’s covariance expansions”, Latin American Journal of Probability and Mathematical Statistics, 19(2), pp. 1827 – 1827.
Temčinas, T., Nanda, V. and Reinert, G. (2021) “Multivariate Central Limit Theorems for Random Clique Complexes”, arXiv.
Berestycki, J. et al. (2021) “The extremal point process of branching Brownian motion in $\mathbb{R}^d$”, arXiv.
Pardo Díaz, J. et al. (2021) “Generating weighted and thresholded gene coexpression networks using signed distance correlation.”
Rogers, D. and Winkel, M. (2021) “A Ray–Knight representation of up-down Chinese restaurants”, Bernoulli, 28(1), pp. 689–712.
Rogers, D. and Winkel, M. (2021) “A Ray–Knight representation of up-down Chinese restaurants”, Bernoulli, 28(1), pp. 689–712.
Gaunt, R. and Reinert, G. (2021) “Bounds for the chi-square approximation of Friedman’s statistic by Stein’s method.”
He, Y. et al. (2021) “SSSNET: Semi-Supervised Signed Network Clustering.”
Barbour, A. and Reinert, G. (2021) “Estimating the correlation in network disturbance models”, Journal of Complex Networks, 9(5).