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2026

Working Paper

Exarchakos, G., van der Hofstad, R., Nagy, O. & Pandey, M. (2026). Bringing order to network centrality measures. (pp. 1-24). ArXiv. https://arxiv.org/abs/2601.16236

Baudoin, F. & Yang, G. (2026). Sub-Laplacian generalized curvature dimension inequalities on Riemannian foliations.

2026

Thesis

Copic, L. (2026). Quantitative Results for Multivariate Models. [PhD dissertation, Aarhus University].

2026

Contribution to journal

Sendrowski, J. & Hobolth, A. (2026). PhaseGen: exact solutions for time-inhomogeneous multivariate coalescent distributions under diverse demographies. Genetics, 232(1), Article iyaf135. https://doi.org/10.1093/genetics/iyaf135

Pérez-Abreu, V. & Ørnsen, S. T. (2026). On Ole E. Barndorff-Nielsen’s contributions to classical and free infinite divisibility and Lévy processes. Bernoulli, 32(1), 5-23. https://doi.org/10.3150/25-BEJ1896

Hirsch, C. & Owada, T. (2026). Limit theorems under heavy-tailed scenario in the age-dependent random connection models. Stochastic Processes and Their Applications, 192, Article 104815. https://doi.org/10.1016/j.spa.2025.104815

Hirsch, C., Lundbye, N. N. & Otto, M. (2026). Poisson approximation of large-lifetime cycles. Extremes. Advance online publication. https://doi.org/10.1007/s10687-026-00526-x

Gao, J. & Yang, M. (2026). Hölder regularity of harmonic functions on metric measure spaces. Advances in Mathematics, 488, Article 110797. https://doi.org/10.1016/j.aim.2026.110797

Dörnemann, N. T. & Dette, H. (2026). A CLT for the difference of eigenvalue statistics of sample covariance matrices. Bernoulli, 32(1), 615-637. https://doi.org/10.3150/25-BEJ1872

Dörnemann, N. & Paul, D. S. (2026). Detecting spectral breaks in spiked covariance models. Bernoulli, 32(2), 1243-1266. https://doi.org/10.3150/25-BEJ1900

Dörnemann, N. (2026). Two-sample covariance inference in high-dimensional elliptical models. Electronic Journal of Statistics, 20(1), 633-666. https://doi.org/10.1214/26-EJS2499

Bendikov, A., Chen, L. & Saloff-Coste, L. (2026). Riesz Transforms, Function Spaces, and Their Applications on Infinite Dimensional Compact Groups. Potential Analysis, 64(4), Article 60. https://doi.org/10.1007/s11118-026-10288-7

Baudoin, F., Chen, L., Huang, C. H., Ouyang, C., Tindel, S. & Wang, J. (2026). Parabolic Anderson model in bounded domains of recurrent metric measure spaces. Transactions of the American Mathematical Society, 379(3), 1799-1851. https://doi.org/10.1090/tran/9540

Asmussen, S. (2026). On Erlangization and Extrapolation, with Applications to Financial Regime-Switching Lévy Models. Methodology and Computing in Applied Probability, 28(1), Article 19. https://doi.org/10.1007/s11009-025-10234-x

Andreis, L., Bassetti, F. & Hirsch, C. (2026). LDP for the covariance process in fully connected Gaussian neural networks. Electronic Journal of Probability, 31, Article 22. https://doi.org/10.1214/26-EJP1477

Agergaard, T. E., Nielsen, K. H., Labouriau, R. & Fage-Butler, A. (2026). Exploring Trust and Literacy in Engagement with Generative AI and Science Information Behavior. Media and Communication, 14, Article 11357. https://doi.org/10.17645/mac.11357

Dare, E. (2025). Corrigendum to “Stereologically adapted Crofton formulae for tensor valuations” [Adv. Appl. Math. 160 (2024) 102754] (Advances in Applied Mathematics (2024) 160, (S0196885824000861), (10.1016/j.aam.2024.102754)). Advances in Applied Mathematics, 171, Article 102937. https://doi.org/10.1016/j.aam.2025.102937

2025

Working Paper

Lam, T., Dörnemann, N. & Dette, H. (2025). A New Two-Sample Test for Covariance Matrices in High Dimensions: U-Statistics Meet Leading Eigenvalues.

Kuijper, T. (2025). Brownian motion and stochastic areas on complex partial flag manifolds with blocks of equal size.

Jain, S., de Freitas, B. N., Basse-OConnor, A., Iosifidis, A. & Pauwels, R. (2025). PanoDiff-SR: Synthesizing Dental Panoramic Radiographs using Diffusion and Super-resolution.

Dörnemann, N., Kokoszka, P., Kutta, T. & Lee, S. (2025). Monitoring for a Phase Transition in a Time Series of Wigner Matrices.

Dörnemann, N., Fleermann, M. & Heiny, J. (2025). Ties, Tails and Spectra: On Rank-Based Dependency Measures in High Dimensions.

Dörnemann, N. & Lopes, M. E. (2025). Tracy-Widom, Gaussian, and Bootstrap: Approximations for Leading Eigenvalues in High-Dimensional PCA.

Dörnemann, N. (2025). Two-Sample Covariance Inference in High-Dimensional Elliptical Models.

Baudoin, F., Kuijper, T. & Wang, J. (2025). Quaternionic stochastic areas on quaternionic full flag manifolds and applications.

Baudoin, F., Chen, L., Huang, C.-H., Ouyang, C., Tindel, S. & Wang, J. (2025). Weighted Besov spaces on Heisenberg groups and applications to the Parabolic Anderson model. ArXiv. https://doi.org/10.48550/arXiv.2501.04593

2025

Thesis

Pandey, M. (2025). Centrality Measures and Connectivity Properties in Large Networks: Who is the most influential in a network? [PhD dissertation, Eindhoven University of Technology]. Eindhoven Technical University. https://research.tue.nl/en/publications/centrality-measures-and-connectivity-properties-in-large-networks

Dare, E. (2025). Crofton and Blaschke–Petkantschin Formulae: Applications in Stereology and Intersection Probabilities. [PhD dissertation, Aarhus University].

2025

Working Paper

Hirsch, C. P., Jahnel, B. & Juhász, P. (2025). Functional limit theorems for edge counts in dynamic random connection hypergraphs. https://arxiv.org/pdf/2507.16270

Brun, M., Hirsch, C. P., Juhász, P. & Otto, M. (2025). Random Connection Hypergraphs. https://arxiv.org/pdf/2407.16334

2025

Contribution to conference

Pedersen, J., Hafner, S. D., Romio, C., Pacholski, A. S. & Labouriau, R. (2025). Effect of digestate and untreated slurry properties on ammonia emission from field application. Abstract from RAMIRAN 2025, Wageningen, Netherlands.

2025

Contribution to book anthology

Baudoin, F., Bonnefont, M. & Chen, L. (2025). Convergence to equilibrium for hypoelliptic non-symmetric Ornstein-Uhlenbeck-type operators. In F. Baudoin & L. Rizzi (Eds.), New Trends in Sub-Riemannian Geometry - AMS-EMS-SMF Special Session Sub-Riemannian Geometry and Interactions, 2022 (pp. 103-122). American Mathematical Society. https://doi.org/10.1090/conm/809/16204

Baudoin, F. & Vega-Molino, S. (2025). Holonomy of H-type foliations. In F. Baudoin & L. Rizzi (Eds.), New Trends in Sub-Riemannian Geometry - AMS-EMS-SMF Special Session Sub-Riemannian Geometry and Interactions, 2022 (pp. 49-58). American Mathematical Society. https://doi.org/10.1090/conm/809/16200

Basse-O'Connor, A., Overgaard, T. L. & Rasmussen, M. M. S. (2025). Some Results on Random Mixed SAT Problems. In A. Srakar (Ed.), 23rd European Young Statisticians Meeting: 11.-15. September 2023, Ljubljana, Slovenia: Proceedings (pp. 113-118). Article 19 Statistical Society of Slovenia. https://plus.cobiss.net/cobiss/si/sl/data/cobib/213542659

2025

Book anthology

Jensen, E. B. V. & Kiderlen, M. (2025). Rotational Integral Geometry and its Applications. Springer. https://doi.org/10.1007/978-3-031-87047-7

2025

Contribution to journal

Baudoin, F. & Rizzi, L. (2025). Preface. Contemporary Mathematics, 809, vii.

Stehr, M. & Kiderlen, M. (2025). Confidence intervals for Newton–Cotes quadratures based on stationary point processes. Statistical Methods & Applications, 34(1), 39-67. https://doi.org/10.1007/s10260-024-00773-x

Ramos Docampo, M. A., Abild Meyer, C., Ryberg, C., Otzen, D. E., Hirsch, C. & Städler, B. (2025). Actin Polymerizing Motors to Assist Cytoskeleton-like Networks Formation in Artificial Cells. ACS Nano, 19(42), 37324-37338. https://doi.org/10.1021/acsnano.5c12624

Porsborg, P. S., Charmouh, A. P., Singh, V. K., Winge, S. B., Hvilsom, C., Oroperv, C., Hansen, L. T., Berner, J. A., Pelizzola, M., Laurentino, S., Neuhaus, N., Hobolth, A., Bataillon, T., Besenbacher, S., Almstrup, K. & Schierup, M. H. (2025). Long-read sequencing of primate testis and human sperm allows identification of recombination events in individuals. Nature Communications, 16(1), Article 10337. https://doi.org/10.1038/s41467-025-65248-3

Pandey, M. & Hofstad, R. V. D. (2025). Are giants in random digraphs ‘almost’ local? Electronic Communications in Probability, 30, 1. Article 48. https://doi.org/10.1214/25-ECP694

Last, K. B., Rindom, E., Labouriau, R., Henriksen, P. G. & Wang, T. (2025). Protein synthesis increases with meal size and correlates with postprandial metabolic rate and organ mass in Burmese pythons (Python bivittatus). Comparative Biochemistry and Physiology -Part A : Molecular and Integrative Physiology, 309, Article 111916. https://doi.org/10.1016/j.cbpa.2025.111916

Kutta, T. (2025). Approximately mixing time series. Statistics and Probability Letters, 220, Article 110360. https://doi.org/10.1016/j.spl.2025.110360

Hobolth, A., Boitard, S., Futschik, A. & Leblois, R. (2025). A matrix-analytical sampling formula for time-homogeneous coalescent processes under the infinite sites mutation model. Theoretical Population Biology, 163, 62-79. https://doi.org/10.1016/j.tpb.2025.03.002

Hirsch, C. & Valesin, D. (2025). Face and cycle percolation. Journal of Applied and Computational Topology, 9(1), Article 6. https://doi.org/10.1007/s41468-025-00202-2

Hirsch, C. & Petráková, M. (2025). Large-Deviation Analysis for Canonical Gibbs Measures. Journal of Statistical Physics, 192(5), Article 71. https://doi.org/10.1007/s10955-025-03451-8

Hirsch, C., Otto, M., Owada, T. & Thäle, C. (2025). Large deviations for the volume of hyperbolic k-nearest neighbor balls. Annales de l'institut Henri Poincare (B) Probability and Statistics, 61(2), 1443-1457. https://doi.org/10.1214/23-AIHP1458

Hirsch, C. & Willhalm, D. (2025). Large deviations of one-hidden-layer neural networks. Stochastics and Dynamics, 24(8), Article 2550002. https://doi.org/10.1142/S0219493725500029

Hirsch, C. & Juhasz, P. (2025). On the Topology of Higher-order Age-dependent Random Connection Models. Methodology and Computing in Applied Probability, 27(2), Article 44. https://doi.org/10.1007/s11009-025-10173-7

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, Article 104593. https://doi.org/10.1016/j.spa.2025.104593

Heerten, N., Hirsch, C. & Otto, M. (2025). Moderate deviations for weight-dependent random connection models. Journal of Applied Probability, 62(4), 1406-1428. https://doi.org/10.1017/jpr.2025.13

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Lars Madsen