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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

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

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

Bæk, Z. E. D., Macià, M. C., Skov, L. & Hobolth, A. (2026). Advanced Posterior Analyses of Hidden Markov Models: Finite Markov Chain Imbedding and Hybrid Decoding. Scandinavian journal of statistics. Advance online publication. https://doi.org/10.1111/sjos.70088

Bastian, P., Tieplova, D., Dörnemann, N. & Kutta, T. (2026). Change Point Detection and Localization in High-Dimensional Time Series.

Baudoin, F., Gordina, M. & Sarkar, R. (2026). Dimension-Independent Functional Inequalities by Tensorization and Projection Arguments. Mathematische Nachrichten, 299(7), 1665-1691. https://doi.org/10.1002/mana.70164

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

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

Baudoin, F. (2026). Sub-Laplacian comparison theorems on Riemannian foliations with minimal leaves and applications. Communications on Pure and Applied Analysis, 32, 192-214. https://doi.org/10.3934/cpaa.2026035

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

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

Brun, M., Hirsch, C., Juhász, P. & Otto, M. (2026). Random connection hypergraphs. Stochastic Models, 42(3), 345-387. https://doi.org/10.1080/15326349.2026.2651174

Chen, H. & Lee, C. Y. (2026). Propagation of singularities for the damped stochastic Klein-Gordon equation. Stochastics and Partial Differential Equations: Analysis and Computations. Advance online publication. https://doi.org/10.1007/s40072-026-00433-z

Chen, A. & Yu, Z. (2026). Spectral Bounds and Heat Kernel Upper Estimates for Dirichlet Forms. Mathematische Nachrichten, 299(9), 2566-2589. Article e70207. https://doi.org/10.1002/mana.70207

Coll Macià, M., Skov, L., Bæk, Z. E. D. & Hobolth, A. (2026). Enhancement of hidden Markov model analyses for improved inference of archaic introgression in modern humans. Molecular Biology and Evolution, 43(6), Article msag134. https://doi.org/10.1093/molbev/msag134

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., Fleermann, M. & Heiny, J. (2026). Ties, tails and spectra: On rank-based dependency measures in high dimensions. Stochastic processes and their applications, 201, Article 105055. https://doi.org/10.1016/j.spa.2026.105055

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

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

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

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, 29(3), 495-559. https://doi.org/10.1007/s10687-026-00526-x

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

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

Jensen, F. V., Carvalho, J. P., Wili, N., Thomsen, A. H., Goodwin, D. L., Trottner, L., Strauch, C., Nielsen, A. B. & Nielsen, N. C. (2026). In situ learning-based spin engineering of pulsed dynamic nuclear polarization. Science Advances, 12(38), Article eaeh4467. https://doi.org/10.1126/sciadv.aeh4467

Jensen, J. L., Mortensen, P. B. & Serritzlew, S. (2026). Understanding Policy Changes: The Mixture Model of Politics. Oxford University Press. https://doi.org/10.1093/9780197900413.001.0001

Kutta, T., Dörnemann, N. & Kokoszka, P. (2026). Does PCA Work for Rough Functional Data?

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

Labouriau, R. (2026). From Coefficients to Distributions: De~Moivre and the Operational View of Probability.

Labouriau, R. (2026). Markov Properties of $k$-Record Processes via Order Statistics.

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

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

Labouriau, R. (2026). Weak Information Geometry: Riemannian Structures from Distributional Inference Functions and Stein Discrepancies.

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

Martínez, I., Hahn, U., Nygaard, J. V. & Londono, C. S. (2026). Estimation of Pores Via Artificial Pore Intersections. Image Analysis and Stereology, 45, 167-184. Advance online publication. https://doi.org/10.5566/ias.3970

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

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

Ozkan, R. (2026). Geometric Deep Learning: A Bibliometric Analysis of Research Evolution and Emerging Directions. IEEE Access, 14, 124642-124662. https://doi.org/10.1109/ACCESS.2026.3723132

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

Ramos-Docampo, M. A., Duan, C., Wang, N., Pandey, M., de Dios Andres, P., Hirsch, C. & Städler, B. (2026). Modeling Active Particle Motion from Fluorescence Correlation Spectroscopy Data. Analytical Chemistry, 98(31), 22781-22791. https://doi.org/10.1021/acs.analchem.6c01438

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

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

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

Asmussen, S. & Bladt, M. (2025). Matrix representations of Wiener-Hopf factorisations for Lévy processes. Journal of Applied Probability, 62(3), 1028-1043. https://doi.org/10.1017/jpr.2024.112

Asmussen, S. (2025). Wiener–Hopf factorization, Erlangization and transient solutions in some Markov-modulated queueing models. Queueing Systems, 109(4), Article 30. https://doi.org/10.1007/s11134-025-09959-w

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

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

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

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

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Lars Madsen