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Kutta, T. (2025). Approximately mixing time series. Statistics and Probability Letters, 220, Artikel 110360. https://doi.org/10.1016/j.spl.2025.110360
Pandey, M. & Hofstad, R. V. D. (2025). Are giants in random digraphs ‘almost’ local? Electronic Communications in Probability, 30, 1. Artikel 48. https://doi.org/10.1214/25-ECP694
Chen, Y., Huang, H., Huang, K., Roohi, M. & Tang, C. (2025). A selective chaos-driven encryption technique for protecting medical images. Physica Scripta, 100(1), Artikel 0152a3. https://doi.org/10.1088/1402-4896/ad9fad
Baudoin, F., Grong, E., Rizzi, L. & Vega-Molino, S. (2025). Comparison theorems on H-type sub-Riemannian manifolds. Calculus of Variations and Partial Differential Equations, 64(5), Artikel 143. https://doi.org/10.1007/s00526-025-02992-w
Baudoin, F., Bonnefont, M. & Chen, L. (2025). Convergence to equilibrium for hypoelliptic non-symmetric Ornstein-Uhlenbeck-type operators. I F. Baudoin & L. Rizzi (red.), New Trends in Sub-Riemannian Geometry - AMS-EMS-SMF Special Session Sub-Riemannian Geometry and Interactions, 2022 (s. 103-122). American Mathematical Society. https://doi.org/10.1090/conm/809/16204
Hirsch, C. & Valesin, D. (2025). Face and cycle percolation. Journal of Applied and Computational Topology, 9(1), Artikel 6. https://doi.org/10.1007/s41468-025-00202-2
Baudoin, F., Gordina, M., Herzog, D. P., Kim, J. & Melcher, T. (2025). Functional inequalities for a family of infinite-dimensional diffusions with degenerate noise. Journal of Functional Analysis, 288(6), Artikel 110814. https://doi.org/10.1016/j.jfa.2024.110814
Baudoin, F. & Vega-Molino, S. (2025). Holonomy of H-type foliations. I F. Baudoin & L. Rizzi (red.), New Trends in Sub-Riemannian Geometry - AMS-EMS-SMF Special Session Sub-Riemannian Geometry and Interactions, 2022 (s. 49-58). American Mathematical Society. https://doi.org/10.1090/conm/809/16200
Alonso Ruiz, P. & Baudoin, F. (2025). Korevaar–Schoen p-energies and their Γ-limits on Cheeger spaces. Nonlinear Analysis: Theory, Methods & Applications, 256, Artikel 113779. https://doi.org/10.1016/j.na.2025.113779
Hirsch, C. & Petráková, M. (2025). Large-Deviation Analysis for Canonical Gibbs Measures. Journal of Statistical Physics, 192(5), Artikel 71. https://doi.org/10.1007/s10955-025-03451-8
Hirsch, C. & Willhalm, D. (2025). Large deviations of one-hidden-layer neural networks. Stochastics and Dynamics, 24(8), Artikel 2550002. https://doi.org/10.1142/S0219493725500029
Asmussen, S. & Bladt, M. (2025). Matrix representations of Wiener-Hopf factorisations for Lévy processes. Journal of Applied Probability. Advance online publication. https://doi.org/10.1017/jpr.2024.112
Heerten, N., Hirsch, C. & Otto, M. (2025). Moderate deviations for weight-dependent random connection models. Journal of Applied Probability. Advance online publication. https://doi.org/10.1017/jpr.2025.13
Baudoin, F., Chen, H. & Ouyang, C. (2025). Moment estimates for the stochastic heat equation on Cartan-Hadamard manifolds. Journal of Mathematical Analysis and Applications, 552(2), Artikel 129805. https://doi.org/10.1016/j.jmaa.2025.129805
Egendal, I., Brøndum, R. F., Pelizzola, M., Hobolth, A. & Bøgsted, M. (2025). On the Relation Between Linear Autoencoders and Non-Negative Matrix Factorization for Mutational Signature Extraction. Journal of computational biology : a journal of computational molecular cell biology, 32(5), 461-472. https://doi.org/10.1089/cmb.2024.0784
Amir, G., Heydenreich, M. & Hirsch, C. (2025). Planar reinforced k-out percolation. Stochastic Processes and Their Applications, 189, Artikel 104706. https://doi.org/10.1016/j.spa.2025.104706
Hirsch, C., Jahnel, B., Jhawar, S. K. & Juhasz, P. (2025). Poisson approximation of fixed-degree nodes in weighted random connection models. Stochastic Processes and Their Applications, 183, Artikel 104593. https://doi.org/10.1016/j.spa.2025.104593
Baudoin, F. & Rizzi, L. (2025). Preface. Contemporary Mathematics, 809, vii.
Twiller, J. W., Andersen, K. & Sivertsen, A. (2024). An efficient integer programming model for solving the master planning problem of container vessel stowage. I A. Garrido, C. D. Paternina-Arboleda & S. Voß (red.), Computational Logistics - 15th International Conference, ICCL 2024, Proceedings (Bind 15168, s. 236-253). Springer. https://doi.org/10.1007/978-3-031-71993-6_16
Pandey, M. & Hofstad, R. V. D. (2024). Connectivity of random graphs after centrality-based vertex removal. Journal of Applied Probability, 61(3), 967-998. Artikel 60. https://doi.org/10.1017/jpr.2023.106