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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

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

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), Article 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), 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

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

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. & Willhalm, D. (2025). Large deviations of one-hidden-layer neural networks. Stochastics and Dynamics, 24(8), Article 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

Johansen, S. G. & Thorstenson, A. (2025). Non-crossing vs. independent lead times in a lost-sales inventory system with compound Poisson demand. European Journal of Operational Research, 324(2), 466-476. Advance online publication. https://doi.org/10.1016/j.ejor.2025.01.042

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

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

Amir, G., Heydenreich, M. & Hirsch, C. (2025). Planar reinforced k-out percolation. Stochastic Processes and Their Applications, 189, Article 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, Article 104593. https://doi.org/10.1016/j.spa.2025.104593

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

Vu, M. T., Kim, S. H., Thanh, H. L. N. N., Roohi, M. & Nguyen, T. H. (2025). Trust Region Policy Learning for Adaptive Drug Infusion with Communication Networks in Hypertensive Patients. Mathematics , 13(1), Article 136. https://doi.org/10.3390/math13010136

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

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

Twiller, J. W., Andersen, K. & Sivertsen, A. (2024). An efficient integer programming model for solving the master planning problem of container vessel stowage. In A. Garrido, C. D. Paternina-Arboleda & S. Voß (Eds.), Computational Logistics - 15th International Conference, ICCL 2024, Proceedings (Vol. 15168, pp. 236-253). Springer. https://doi.org/10.1007/978-3-031-71993-6_16

Mirzajani, S., Moafimadani, S. S. & Roohi, M. (2024). A New Encryption Algorithm Utilizing DNA Subsequence Operations for Color Images. AppliedMath, 4(4), 1382-1403. https://doi.org/10.3390/appliedmath4040073

Ivanovs, J. & Yamazaki, K. (2024). A series expansion formula of the scale matrix with applications in CUSUM analysis. Stochastic Processes and Their Applications, 170, Article 104300. https://doi.org/10.1016/j.spa.2024.104300

Basse-O’connor, A. & Podolskij, M. (2024). Asymptotic theory for quadratic variation of harmonizable fractional stable processes. Theory of Probability and Mathematical Statistics, 110, 3-12. https://doi.org/10.1090/tpms/1203

Baudoin, F. (2024). Bottom of the spectrum for manifolds foliated by minimal leaves.

Christensen, S., Thomsen, A. H. & Trottner, L. (2024). Data-driven rules for multidimensional reflection problems. SIAM-ASA Journal on Uncertainty Quantification, 12(4), 1240-1272. https://doi.org/10.48550/arXiv.2311.06639, https://doi.org/10.1137/23M1618570

Dörnemann, N. & Dette, H. (2024). Detecting Change Points of Covariance Matrices in High Dimensions.

Dörnemann, N. & Paul, D. (2024). Detecting Spectral Breaks in Spiked Covariance Models.

Baudoin, F., Gordina, M. & Sarkar, R. (2024). Dimension-independent functional inequalities by tensorization and projection arguments.

Pedersen, J., Labouriau, R. & Feilberg, A. (2024). Effect of separation and air-plasma technology on NH3 emissions from field applied biogas digestate and pig slurry to grassland. 53. Abstract from N Workshop, Aarhus, Denmark. https://conferences.au.dk/fileadmin/conferences/2024/nworkshop/Book_of_abstracts_NW2024.pdf

Pedersen, J., Labouriau, R. & Feilberg, A. (2024). Effect of slurry separation and air-plasma treatment on NH₃ and VOC emissions from field applied biogas digestate and pig slurry to grassland. Biosystems Engineering, 247, 257-266. https://doi.org/10.1016/j.biosystemseng.2024.09.014

Asmussen, S. (2024). Erlangization/Canadization of Phase-Type Jump Diffusions, with Applications to Barrier Options. Journal of the Indian Society for Probability and Statistics, 25(2), 575-596. https://doi.org/10.1007/s41096-024-00209-5

Pedersen, J., Hafner, S. D., Pacholski, A. S., I. Karlsson, V., Rong, L., Labouriau, R. & Kamp, J. N. (2024). Evaluation of optimized flux chamber design for measurement of ammonia emission after field application of slurry with full-scale farm machinery. Atmospheric Measurement Techniques, 17(14), 4493–4505. https://doi.org/10.5194/amt-17-4493-2024

Baudoin, F., Lang, Q. & Sire, Y. (2024). Extension method in Dirichlet spaces with sub-Gaussian estimates and applications to regularity of jump processes on fractals.

Laursen, R., Maretty, L. & Hobolth, A. (2024). Flexible model-based non-negative matrix factorization with application to mutational signatures. Statistical Applications in Genetics and Molecular Biology, 23(1), Article 20230034. https://doi.org/10.1515/sagmb-2023-0034

Baudoin, F. & Lacaux, C. (2024). Fractional stable random fields on the Sierpiński gasket. https://doi.org/10.1016/j.spa.2024.104481

Baudoin, F. & Chen, L. (2024). Heat kernel gradient estimates for the Vicsek set. Mathematische Nachrichten, 297(12), 4450-4477. https://doi.org/10.1002/mana.202400180

Hasselholt, S., Stephensen, H. J. T., Janssen, D., Molnar, K., Andersen, A. H., Dubois, A., Hahn, U., Wang, Y., Sporring, J., Xu, Z. & Nyengaard, J. R. (2024). Investigating the Role of ADGRV1 in ALS Using a Novel Mouse Model. Abstract from The 7th Danish Bioimaging Scientific Symposium, Copenhagen, Denmark.

Ruiz, P. A. & Baudoin, F. (2024). Korevaar-Schoen $p$-energies and their $Γ$-limits on Cheeger spaces.

Baudoin, F. (2024). Korevaar–Schoen–Sobolev spaces and critical exponents in metric measure spaces. Annales Fennici Mathematici, 49(2), 487-527. https://doi.org/10.54330/AFM.147513

Christensen, S., Strauch, C. & Trottner, L. (2024). Learning to reflect: A unifying approach for data-driven stochastic control strategies. Bernoulli, 30(3), 2074-2101. https://doi.org/10.3150/23-BEJ1665

Dörnemann, N. & Dette, H. (2024). Linear spectral statistics of sequential sample covariance matrices. Annales de l'institut Henri Poincare (B) Probability and Statistics, 60(2), 946-970. https://doi.org/10.1214/22-AIHP1339

Hirsch, C. & Willhalm, D. (2024). Lower large deviations for geometric functionals in sparse, critical and dense regimes. Alea (Rio de Janeiro), 21(2), 923-962. https://doi.org/10.30757/ALEA.V21-38

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Revised 12.06.2025

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Lars Madsen