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Hirsch, C., Jahnel, B., Keeler, P. & Patterson, R. IA. (2017). Traffic flow densities in large transport networks. Advances in Applied Probability, 49(4), 1091-1115.

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

Olsen, M. & Andersen, L. N. (2018). Towards Asymptotically Optimal One-to-One PDP Algorithms for Capacity 2+ Vehicles. In Computational Logistics - 9th International Conference, ICCL 2018, Proceedings (pp. 268-278). Springer. https://doi.org/10.1007/978-3-030-00898-7_17

Sanchez, S., Knadel, M., Labouriau, R., Rubæk, G. H. & Heckrath, G. J. (2021). Total Phosphorus Determination in Soils Using Laser-Induced Breakdown Spectroscopy: Evaluating Different Sources of Matrix Effects. Applied Spectroscopy, 75(1), 22-33. https://doi.org/10.1177/0003702820949560

Cipriani, A., Hirsch, C. & Vittorietti, M. (2023). Topology-based goodness-of-fit tests for sliced spatial data. Computational Statistics and Data Analysis, 179, Article 107655. https://doi.org/10.1016/j.csda.2022.107655

Baudoin, F. (2025). Topology and bottom spectrum of transversally negatively curved foliations. Annals of Global Analysis and Geometry, 68(3), Article 16. https://doi.org/10.1007/s10455-025-10020-5

Jensen, E. B. V. (1994). Topics in spatial statistics - discussion. Scandinavian Journal of Statistics, 21(4), 349-350. http://www.jstor.org/stable/4616322

Labouriau, R. (1989). Tópicos de Robustez Quantitativa em Famílias Exponenciais de Distribuicões a um Parâmetro ("Série D", n. 32, IMPA ed.).

Asmussen, S., Ivanovs, J. & Rønn-Nielsen, A. (2017). Time inhomogeneity in longest gap and longest run problems. Stochastic Processes and Their Applications, 127(2), 574-589. https://doi.org/10.1016/j.spa.2016.06.018

Asmussen, S., Ivanovs, J. & Rønn-Nielsen, A. (2015). Time inhomogeneity in longest gap and longest run problems. T.N. Thiele Centre, Department of Mathematics, Aarhus University. Thiele Research Reports No. 07 http://math.au.dk/publs?publid=1054

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

Klose, A. (2011). Three formulations of the multi-type capacitated facility location problem. Abstract from International Conference on Operations Research, Zürich, Switzerland.

Jensen, E. B. V. & Gundersen, H. J. G. (2017). THE WORKSHOPS ON STOCHASTIC GEOMETRY, STEREOLOGY AND IMAGE ANALYSIS. Image Analysis and Stereology, 36(3), 179-185. https://doi.org/10.5566/ias.1755

Baudoin, F. (2005). The tangent space to a hypoelliptic diffusion and applications. Lecture Notes in Mathematics, 1857, 338-362. https://doi.org/10.1007/978-3-540-31449-3_23

Baudoin, F. & Wang, J. (2014). The Subelliptic Heat Kernels of the Quaternionic Hopf Fibration. Potential Analysis, 41(3), 959-982. https://doi.org/10.1007/s11118-014-9403-z

Baudoin, F. & Cecil, M. (2015). The subelliptic heat kernel on the three-dimensional solvable Lie groups. Forum Mathematicum, 27(4), 2051-2086. https://doi.org/10.1515/forum-2013-0020

Baudoin, F. & Wang, J. (2013). The subelliptic heat kernel on the CR sphere. Mathematische Zeitschrift, 275(1-2), 135-150. https://doi.org/10.1007/s00209-012-1127-4

Baudoin, F. & Bonnefont, M. (2009). The subelliptic heat kernel on SU(2): Representations, asymptotics and gradient bounds. Mathematische Zeitschrift, 263(3), 647-672. https://doi.org/10.1007/s00209-008-0436-0

Baudoin, F. & Cho, G. (2021). The Subelliptic Heat Kernel of the Octonionic Hopf Fibration. Potential Analysis, 55(2), 211-228. https://doi.org/10.1007/s11118-020-09854-4

Baudoin, F. & Cho, G. (2021). The subelliptic heat kernel of the octonionic anti-de sitter fibration. Symmetry, Integrability and Geometry: Methods and Applications (SIGMA), 17, Article 014. https://doi.org/10.3842/SIGMA.2021.014

Rasmusson, A., Hahn, U., Larsen, J. O., Gundersen, H. J. G., Jensen, E. B. V. & Nyengaard, J. R. (2013). The spatial rotator. Journal of Microscopy, 250(2), 88-100. https://doi.org/10.1111/jmi.12022

Wilton, P. R., Carmi, S. & Hobolth, A. (2015). The SMC' is a highly accurate approximation to the ancestral recombination graph. Genetics (Print), 200(1), 343-355. Article 1. http://intl.genetics.org/content/200/1/343.full

Goertz, S. & Klose, A. (2007). The single-sink fixed-charge transportation problem: Applications and solution methods. In Management logistischer Netzwerke: Entscheidungsunterstützung, Informationssysteme und OR-Tools (pp. 383-406). Physica-Verlag.

Hansen, L. V., Nyengaard, J. R., Andersen, J. B. & Jensen, E. B. V. (2011). The semi-automatic nucleator. Journal of Microscopy, 242(2), 206-215. https://doi.org/10.1111/j.1365-2818.2010.03460.x

Stark, A. K., Gundersen, H. J. G., Gardi, J. E., Pakkenberg, B. & Hahn, U. (2009). The saucor, a new stereological tool for analysing the spatial distributions of cells, exempliﬁed by human neocortical neurons and glial cells. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.

Stark, A. K., Gundersen, H. J. G., Gardi, J. E., Pakkenberg, B. & Hahn, U. (2011). The saucor, a new stereological tool for analysing the spatial distributions of cells, exemplified by human neocortical neurons and glial cells. Journal of Microscopy, 242(2), 132-147. https://doi.org/10.1111/j.1365-2818.2010.03447.x

Labouriau, R. (2020, Mar 24). The R-package postHoc.

Jensen, E. B. V. & Gundersen, H. J. G. (1993). The rotator. Journal of Microscopy, 170(1), 35-44. https://doi.org/10.1111/j.1365-2818.1993.tb03321.x, https://doi.org/10.1111/j.1365-2818.1993.tb03352.x

Chen, L., Martell, J. M. & Prisuelos-Arribas, C. (2023). The Regularity Problem for Uniformly Elliptic Operators in Weighted Spaces. Potential Analysis, 58(3), 409-439. https://doi.org/10.1007/s11118-021-09945-w

Auscher, P., Chen, L., Martell, J. M. & Prisuelos-Arribas, C. (2023). The regularity problem for degenerate elliptic operators in weighted spaces. Revista Matematica Iberoamericana, 39(2), 563-610. https://doi.org/10.4171/RMI/1357

Nairismägi, M.-L., Füchtbauer, A., Labouriau, R., Bramsen, J. B. & Füchtbauer, E.-M. (2013). The Proto-Oncogene TWIST1 Is Regulated by MicroRNAs. PLoS One, 8(5), e66070. https://doi.org/10.1371/journal.pone.0066070

Bianchi, G., Gardner, R. J., Gronchi, P. & Kiderlen, M. (2024). The Pólya-Szegő inequality for smoothing rearrangements. Journal of Functional Analysis, 287(2), Article 110422. https://doi.org/10.1016/j.jfa.2024.110422

Joergensen, M. W., Labouriau, R., Hindkjaer, J., Stougaard, M., Kolevraa, S., Bolund, L., Agerholm, I. E. & Sunde, L. (2015). The parental origin correlates with the karyotype of human embryos developing from tripronuclear zygotes. Clinical and Experimental Reproductive Medicine, 42(1), 14-21. https://doi.org/10.5653/cerm.2015.42.1.14

Tandrup, T., Gundersen, H. J. G. & Jensen, E. B. V. (1997). The optical rotator. Journal of Microscopy, 186(2), 108-120. https://doi.org/10.1046/j.1365-2818.1997.2070765.x

Hasebe, T., Sakuma, N. & Thorbjørnsen, S. (2019). The Normal Distribution Is Freely Self-decomposable. International Mathematics Research Notices, 2019(6), 1758-1787. https://doi.org/10.1093/imrn/rnx171

Thorbjørnsen, S., Hasebe, T. & Sakuma, N. (2017). The normal distribution is freely selfdecomposable. International Mathematics Research Notices, 1-22.

Hobolth, A. & Siren, J. (2016). The multivariate Wright–Fisher process with mutation: Moment-based analysis and inference using a hierarchical Beta model. Theoretical Population Biology, 108, 36-50. https://doi.org/10.1016/j.tpb.2015.11.001

Jensen, J. L. (1992). The modified signed likelihood statistic and saddlepoint approximations. Biometrika, 79(4), 693-703. https://doi.org/10.1093/biomet/79.4.693

Saffari, M., Asmussen, S. & Haji, R. (2013). The M/M/1 queue with inventory, lost sale, and general lead times. Queueing Systems, 75(1), 65-77. https://doi.org/10.1007/s11134-012-9337-3

Saffari, M., Asmussen, S. & Haji, R. (2010). The M/M/1 queue with inventory, lost sale and general lead times. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.

Baudoin, F. & Kim, B. (2016). The Lichnerowicz–Obata Theorem on Sub-Riemannian Manifolds with Transverse Symmetries. Journal of Geometric Analysis, 26(1), 156-170. https://doi.org/10.1007/s12220-014-9542-x

Pedersen, J. (2003). The Lévy-Itô decomposition of an independently scattered random measure. MaPhySto, University of Aarhus.

Barndorff-Nielsen, O. E. & Thorbjørnsen, S. (2003). The Lévy-Itô Decomposition in Free Probability. Syddansk Universitet. http://www.maphysto.dk/cgi-bin/w3-msql/publications2/index.html

Barndorff-Nielsen, O. E. & Thorbjørnsen, S. (2005). The Lévy-Itô decomposition in free probability. Prob. Theory Rel. Fields, 131(2), 197-228. https://doi.org/10.1007/s00440-003-0322-y

Labouriau, R. (1997). The Laplace transform and polynomial approximation in L2. Danmarks JordbrugsForskning.

Labouriau, R. (2016). The Laplace transform and polynomial approximation in L2. ArXiv. http://arxiv.org/pdf/1603.03473v1.pdf

Thórisdóttir, Ó. & Kiderlen, M. (2014). The Invariator Principle in Convex Geometry. Advances in Applied Mathematics, 58, 63-87. https://doi.org/10.1016/j.aam.2014.02.003

Thórisdóttir, Ó. & Kiderlen, M. (2013). The invariator principle in convex geometry. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports No. 06 http://math.au.dk/publs?publid=982

Baudoin, F. & Mostovyi, O. (2024). The indifference value of the weak information.

Waltoft, B. L., Pedersen, C. B., Nyegaard, M. & Hobolth, A. (2015). The importance of distinguishing between the odds ratio and the incidence rate ratio in GWAS. BMC Medical Genetics, 16(1), 71. https://doi.org/10.1186/s12881-015-0210-1

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Lars Madsen