Find

For students
For PhDs
For employees

Department of Mathematics

Publications

All data comes from articles registered in PURE.

Sort by: Date | Author | Title

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

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

Nagy, O., Pandey, M., Exarchakos, G., Bentum, M. & van der Hofstad, R. (2026). Communication protocol for a satellite-swarm interferometer for low-frequency radio astronomy. Acta Astronautica, 246, 821-831. https://doi.org/10.1016/j.actaastro.2026.04.004

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

Baudoin, F., Gordina, M. & Sarkar, R. (2026). Dimension-Independent Functional Inequalities by Tensorization and Projection Arguments. Mathematische Nachrichten. Advance online publication. https://doi.org/10.1002/mana.70164

Labouriau, R. (2026). Distributional Statistical Models: Weak Moments, Cumulants, and a Central Limit Theorem.

Moka, S., Hirsch, C., Schmidt, V. & Kroese, D. (2026). Efficient Rare-Event Simulation for Random Geometric Graphs via Importance Sampling. Methodology and Computing in Applied Probability, 28(2), Article 44. https://doi.org/10.1007/s11009-026-10273-y

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

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

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

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

Labouriau, R. (2026). Notes on Transversality and Statistical Degeneracies in Distributional Models.

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

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

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

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

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

Baudoin, F., Kuijper, T. & Wang, J. (2026). Quaternionic Stochastic Areas on Quaternionic Full Flag Manifolds and Applications. Journal of Theoretical Probability, 39(3), Article 52. https://doi.org/10.1007/s10959-026-01514-4

Holk, A., Strauch, C. & Trottner, L. (2026). Reflected diffusion models adapt to low-dimensional data.

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

Holk, A., Strauch, C. & Trottner, L. (2026). Statistical guarantees for denoising reflected diffusion models.

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

Labouriau, R. (2026). Transversality and Geometric Regularisation in Distributional Statistical Models.

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

Labouriau, R. (2026). Weak Moment Methods for Statistical Inference: with an Application to Robust Estimation.

Dare, E., Kiderlen, M. & Thäle, C. (2025). A Blaschke–Petkantschin formula for linear and affine subspaces with application to intersection probabilities. Nonlinear Analysis, Theory, Methods and Applications, 250, Article 113672. https://doi.org/10.1016/j.na.2024.113672

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

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

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

Kutta, T. (2025). Approximately mixing time series. Statistics and Probability Letters, 220, Article 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. Article 48. https://doi.org/10.1214/25-ECP694

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

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

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), Article 143. https://doi.org/10.1007/s00526-025-02992-w

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

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

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

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

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.

Charmouh, A. P., Porsborg, P. S., Hansen, L. T., Besenbacher, S., Boeg Winge, S., Almstrup, K., Hobolth, A., Bataillon, T. & Schierup, M. H. (2025). Estimating Gene Conversion Tract Length and Rate From PacBio HiFi Data. Molecular Biology and Evolution, 42(2), Article msaf019. https://doi.org/10.1093/molbev/msaf019

Averhoff, M. & Thøgersen, J. (2025). Experience rating in the Cramér-Lundberg model. Insurance: Mathematics and Economics, 124, Article 103128. https://doi.org/10.1016/j.insmatheco.2025.103128

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

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), Article 110814. https://doi.org/10.1016/j.jfa.2024.110814

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

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

Alonso Ruiz, P. & Baudoin, F. (2025). Korevaar–Schoen p-energies and their Γ-limits on Cheeger spaces. Nonlinear Analysis: Theory, Methods & Applications, 256, Article 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), 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

Dörnemann, N. & Heiny, J. (2025). Limiting spectral distribution for large sample correlation matrices. Annals of Applied Probability, 35(4), 2570-2603. https://doi.org/10.1214/25-AAP2181

Displaying results 1 to 50 out of 1336

1

Revised 10.06.2026

-

Lars Madsen