Institut for Matematik

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Ziegel, J., Baddeley, A., Dorph-Petersen, K.-A. & Jensen, E. B. V. (2010). Systematic sampling with errors in sample locations. Biometrika, 97(1), 1-13. https://doi.org/10.1093/biomet/asp067
Roohi, M., Zhang, C., Taheri, M. & Basse-O’Connor, A. (2023). Synchronization of Fractional-Order Delayed Neural Networks Using Dynamic-Free Adaptive Sliding Mode Control. Fractal and Fractional, 7(9), Artikel 682. https://doi.org/10.3390/fractalfract7090682
West, M. J., Bach, G., Søderman, A. & Jensen, J. L. (2009). Synaptic contact number and size in stratum radiatum CA1 of APP/PS1DeltaE9 transgenic mice. Neurobiology of Aging, 30(11), 1756-76. https://doi.org/10.1016/j.neurobiolaging.2008.01.009
Asmussen, S. (red.) (2004). Symposium on probability and algorithm: University of Aarhus, friday September 26, 2003. MaPhySto, University of Aarhus. Miscellanea Nr. 2004-25
Jensen, J. L., Jensen, E. B. V. & Sørensen, M. (red.) (2000). Symposium in Honour of Ole E. Barndorff-Nielsen. Department of Mathematical Sciences , University of Aarhus. Memoirs Bind 16
Koets, A., Santema, W., Oostenriik, D., Keestra, M., Mertens, H., Overdijk, M., Labouriau, R., Franken, P., Frijters, A., Nielsen, M. & Rutten, V. (2010). Susceptibility to paratuberculosis infection in cattle is associated withsingle nucleotide polymorphisms in Toll-like receptor 2 which modulate immune responses against Mycobacterium avium subspecies paratuberculosis. Preventive Veterinary Medicine, 93(4), 305-315. https://doi.org/10.1016/j.prevetmed.2009.11.008
Rodriguez Algaba, J., Sørensen, C. K., Labouriau, R., Justesen, A. F. & Hovmøller, M. S. (2020). Susceptibility of Winter Wheat and Triticale to Yellow Rust Influenced by Complex Interactions between Vernalisation, Temperature, Plant Growth Stage and Pathogen Race. Agronomy, 10(1), Artikel 13. https://doi.org/10.3390/agronomy10010013
Kousholt, A., Kiderlen, M. & Hug, D. (2014). Surface tensor estimation from linear sections. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Nr. 07 http://math.au.dk/publs?publid=1004
Kousholt, A., Kiderlen, M. & Hug, D. (2015). Surface tensor estimation from linear sections. Mathematische Nachrichten, 288(14-15), 1647-1672. https://doi.org/10.1002/mana.201400147
Aeckerle-Willems, C. & Strauch, C. (2018). Sup-norm adaptive estimation for scalar ergodic diffusions. https://arxiv.org/abs/1808.10660
Aeckerle-Willems, C. & Strauch, C. (2022). Sup-norm adaptive drift estimation for multivariate nonreversible diffusions. Annals of Statistics, 50(6), 3484-3509. https://doi.org/10.1214/22-AOS2237
Asmussen, S. & Rojas-Nandayapa, L. (2006). Sums of Dependent Lognormal Random Variables: Asymptotics and Simulation. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.
Hobolth, A. & Jensen, J. L. (2011). Summary statistics for endpoint-conditioned continuous-time Markov chains. Journal of Applied Probability, 48(4), 911-924. https://doi.org/10.1239/jap/1324046009
Hobolth, A. & Jensen, J. L. (2010). Summary statistics for end-point conditioned continuous-time Markov chains. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.
Basse-O'Connor, A. (2020). Sufficient conditions for càdlàg sample paths of stable superpositions of Ornstein–Uhlenbeck processes. I Proceeding of the 62nd ISI World Statistics Congress 2019 (s. 74–79). Department of Statistics Malaysia. http://isi2019.org/proceeding/2.STS/STS%20VOL%203/index.html#p=85
Schjønning, P., Lamandé, M., Keller, T. & Labouriau, R. (2020). Subsoil shear strength: Measurements and prediction models based on readily available soil properties. Soil and Tillage Research, 200, Artikel 104638. https://doi.org/10.1016/j.still.2020.104638
Wahlström, E. M., Kristensen, H. L., Thomsen, I. K., Labouriau, R., Pulido-Moncada, M., Nielsen, J. A. & Munkholm, L. J. (2021). Subsoil compaction effect on spatio-temporal root growth, reuse of biopores and crop yield of spring barley. European Journal of Agronomy, 123, Artikel 126225. https://doi.org/10.1016/j.eja.2020.126225
Baudoin, F. & Bonnefont, M. (2013). Sub-Riemannian balls in CR Sasakian manifolds. Proceedings of the American Mathematical Society, 141(11), 3919-3924. https://doi.org/10.1090/S0002-9939-2013-11783-1
Baudoin, F., Grong, E., Kuwada, K. & Thalmaier, A. (2019). Sub-Laplacian comparison theorems on totally geodesic Riemannian foliations. Calculus of Variations and Partial Differential Equations, 58(4), Artikel 130. https://doi.org/10.1007/s00526-019-1570-8
Chen, L. (2015). Sub-Gaussian heat kernel estimates and quasi Riesz transforms for 1 ≤ p ≤ 2. Publicacions Matematiques, 59(2), 313-338. https://doi.org/10.5565/PUBLMAT_59215_03
Andersen, L. N. (2009). Subexponential loss rate asymptotics for Lévy processes. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.
Andersen, L. N. (2011). Subexponential loss rate asymptotics for Lévy processes. Mathematical Methods of Operations Research, 73(1), 91-108. https://doi.org/10.1007/s00186-010-0335-0
Asmussen, S. (1998). Subexponential asymptotics for stochastic processes: extremal behavior, stationary distributions and first passage probabilities. Annals of Applied Probability, 8(2), 354-374.
Zeng, K., Charlesworth, B. & Hobolth, A. (2021). Studying models of balancing selection using phase-type theory. Genetics, 218(2), Artikel iyab055. https://doi.org/10.1093/genetics/iyab055
Madsen, M. H., Kirk, H. G. & Labouriau, R. (2002). Studies of the heritability of resistance from Solanum vernei to Phytophthora infestans. Poster-session præsenteret på Studies of the heritability of resistance from Solanum vernei to Phytophthora infestans, Hamborg, Tyskland.
Andersen, L. N. & Mandjes, M. (2008). Structural properties of reflected Lévy processes. (s. 1-22). Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.
Andersen, L. N. & Mandjes, M. (2009). Structural properties of reflected Lévy processes. Queueing Systems, 63(1-4), 301-322. https://doi.org/10.1007/s11134-009-9116-y
Kasenburg, N., Darkner, S., Hahn, U., Liptrot, M. & Feragen, A. (2016). Structural parcellation of the thalamus using shortest-path tractography. I 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) (s. 559-563). IEEE. https://doi.org/10.1109/ISBI.2016.7493330
Hasselholt, S., Stephensen, H. J. T., Janssen, D., Hasselholt, A., Dubois, A., Hahn, U., Wang, Y., Sporring, J., Xu, Z. & Nyengaard, J. R. (2022). Structural and functional changes in a genetic model of amyotrophic lateral sclerosis. Abstract fra SfN 2022, San Diego, CA, USA.
Nam, K., Munch, K., Hobolth, A., Y. Dutheil, J., Veeramah, K., Woerner, A., F. Hammer, M., Ape Genome Diversity Project, G., Mailund, T. & H. Schierup, M. (2014). Strong selective sweeps associated with ampliconic regions in great ape X chromosomes. ArXiv.
Asmussen, S. & Hering, H. (1976). Strong limit theorems for supercritical immigration-branching processes. Mathematica Scandinavica, 39(2), 327-342.
Asmussen, S. & Hering, H. (1976). Strong limit theorems for general supercritical branching processes with applications to branching diffusions. Z. Wahrscheinlichkeitstheorie und Verw. Gebiete, 36(3), 195-212.
Hahn, U. (1998). Stochastische Modelle und Stereologie für Strukturen mit Gradienten (Stochastic models and stereology for structures with a gradient).
Baudoin, F. (2012). Stochastic taylor expansions and heat kernel asymptotics. ESAIM - Probability and Statistics, 16, 453-478. https://doi.org/10.1051/ps/2011107
Asmussen, S. & Glynn, P. W. (2007). Stochastic simulation: algorithms and analysis. Springer. Stochastic modelling and applied probability Bind 57
Asmussen, S. (2004). Stochastic processes. I J. Teugels & B. Sundt (red.), Encyclopedia of actuarial science (s. 3). Wiley.
Baudoin, F. (2010). Stochastic processes. I International Encyclopedia of Education (s. 451-452). Elsevier Ltd.. https://doi.org/10.1016/B978-0-08-044894-7.01369-5
Basse-O'Connor, A., Graversen, S.-E. & Pedersen, J. (2014). Stochastic integration on the real line. Theory of Probability and Its Applications, 58(2), 193-213. https://doi.org/10.1137/S0040585X97986540
Baudoin, F. (2015). Stochastic Differential Equations Driven by Loops. I Progress in Probability (s. 59-80). Birkhauser. https://doi.org/10.1007/978-3-319-13984-5_3
Basse-O'Connor, A., Nielsen, M. S., Pedersen, J. & Rohde, V. U. (2020). Stochastic delay differential equations and related autoregressive models. Stochastics: An International Journal of Probability and Stochastic Processes , 92(3), 454-477. https://doi.org/10.1080/17442508.2019.1635601
Baudoin, F. & Wang, J. (2017). Stochastic areas, winding numbers and Hopf fibrations. Probability Theory and Related Fields, 169(3-4), 977-1005. https://doi.org/10.1007/s00440-016-0745-x
Baudoin, F., Demni, N. & Wang, J. (2022). Stochastic areas, Horizontal Brownian Motions, and Hypoelliptic Heat Kernels.
Baudoin, F. (2017). Stochastic analysis on Sub-Riemannian manifolds with transverse symmetries. Annals of Probability, 45(1), 56-81. https://doi.org/10.1214/14-AOP964
Baddeley, A. & Jensen, E. B. V. (2005). Stereology for Statisticians. Chapman /. Monographs on Statistics and Applied Probability Bind 103
Hahn, U. & Lorz, U. (1993). Stereological model tests for the spatial Poisson-Voronoi tessellation II. Acta Stereologica, 12(2), 131-140.
Jensen, E. B. V. (2021). Stereological inference on mean particle shape from vertical sections. Australian & New Zealand Journal of Statistics, 63(1), 6-18. https://doi.org/10.1111/anzs.12309
Ziegel, J. & Kiderlen, M. (2010). Stereological estimation of surface area from digital images. Image Analysis and Stereology, 29, 99-110. http://www.wise-t.com/ias/article.php?id=265&year=2010&issue=6
Larsen, N. Y., Ziegel, J. F., Nyengaard, J. R. & Jensen, E. B. V. (2019). Stereological estimation of particle shape from vertical sections. Journal of Microscopy, 275(3), 183-194. https://doi.org/10.1111/jmi.12826
H. Rafati, A., Ziegel, J., Nyengaard, J. R. & Jensen, E. B. V. (2015). Stereological Estimation of Particle Shape and Orientation From Volume Tensors. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Nr. 12 http://math.au.dk/publs?publid=1050
Rafati, A. H., Ziegel, J., Nyengaard, J. R. & Jensen, E. B. V. (2016). Stereological estimation of particle shape and orientation from volume tensors. Journal of Microscopy, 263(3), 229-237. https://doi.org/10.1111/jmi.12382

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Revideret 06.01.2026
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Lars Madsen