Department of Mathematics

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Publications

All data comes from articles registered in PURE.

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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 /.
Hahn, U. & Lorz, U. (1993). Stereological model tests for the spatial Poisson-Voronoi tessellation II. Acta Stereologica, 12(2), 131-140.
Dare, E. (2024). Stereologically adapted Crofton formulae for tensor valuations. Advances in Applied Mathematics, 160, Article 102754. https://doi.org/10.1016/j.aam.2024.102754
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 No. 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
Kousholt, A., Ziegel, J. F., Kiderlen, M. & Jensen, E. B. V. (2016). Stereological estimation of mean particle volume tensors in R3 from vertical sections. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Vol. 2016/09 http://math.au.dk/publs?publid=1073
Kousholt, A., Ziegel, J., Kiderlen, M. & Jensen, E. B. V. (2017). Stereological estimation of mean particle volume tensors in R3 from vertical sections. In E. B. V. Jensen & M. Kiderlen (Eds.), Tensor Valuations and Their Applications in Stochastic Geometry and Imaging (Vol. 2177, pp. 423-434). Springer.
Kousholt, A., Ziegel, J., Kiderlen, M. & Jensen, E. B. V. (2016). Stereological estimation of mean particle volume tensors in R3 from vertical sections. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports No. 09 http://csgb.dk/publications/csgbrr/2016/
Kieu, K. & Jensen, E. B. V. (1993). Stereological estimation based on isotropic slices through fixed points. Journal of Microscopy, 170(1), 45-51. https://doi.org/10.1111/j.1365-2818.1993.tb03322.x
Hahn, U. & Lorz, U. (1994). Stereological analysis of the spatial Poisson-Voronoi tessellation. Journal of Microscopy, 175(3), 176-185.
Hobolth, A. & Jensen, E. B. V. (2002). Stereological analysis of shape. Image Analysis and Stereology, 21(4), S23-S29. https://doi.org/10.5566/ias.v21.pS23-S29
Hahn, U., Micheletti, A., Pohlink, R., Stoyan, D. & Wendrock, H. (1999). Stereological analysis and modelling of gradient structures. Journal of Microscopy, 195(2), 113-124.
Knudsen, M., Feliu, E., Wiuf, C. H. & Andersen, L. N. (2010). Steady States of Phosphorelays and Two-Component Systems. Poster session presented at The 11th International Conference on Systems Biology, Edinburgh, United Kingdom.
Asmussen, S. & Rubinstein, R. Y. (1995). Steady state rare events simulation in queueing models and its complexity properties. In J. H. Dshalalow (Ed.), Advances in queueing theory, methods, and open problems (pp. 429-466). CRC Press.
Blæsild, P. & Granfeldt, J. (2003). Statistics with Applications in Biology and Geology. Chapman /.
Prokesova, M., Hahn, U. & Jensen, E. B. V. (2006). Statistics for locally scaled point processes. In A. Baddeley, P. Gregori, J. Mateu, R. Stoica & D. Stoyan (Eds.), Case Studies in Spatial Point Process Modelling (pp. 99-123). Springer. https://doi.org/10.1007/0-387-31144-0_5
Hobolth, A. (2002). Statistical shape analysis of featureless objects. Department of Mathematical Sciences, Aarhus University.
Tataru, P., Simonsen, M., Bataillon, T. & Hobolth, A. (2017). Statistical Inference in the Wright–Fisher Model Using Allele Frequency Data. Systematic Biology, 66(1), e30-e46. https://doi.org/10.1093/sysbio/syw056
Jensen, J. L. & Hobolth, A. (2005). Statistical inference in evolutionary models of DNA sequences via the EM algorithm. Statistical Applications in Genetics and Molecular Biology, 4(1), article18.
Jensen, E. B. V. & Nielsen, L. S. (2004). Statistical inference for transformation inhomogeneous point processes. Scandinavian Journal of Statistics, 31(1), 131-142. https://doi.org/10.1111/j.1467-9469.2004.00377.x
Holk, A., Strauch, C. & Trottner, L. (2026). Statistical guarantees for denoising reflected diffusion models.
Labouriau, R., Schulin-Zeuthen, M. & Danfær, A. C. (2000). Statistical analysis of pigs development: An application of Richards regression models.
Labouriau, R., Andersen, J. O. & Nielsen, M. (1999). Statistical analysis of biocristallization patterns of carrots extracts. Internal Report of the Biometry Research Unit.
Asmussen, S. & Klüppelberg, C. (1997). Stationary M/G/1 excursions in the presence of heavy tails. Journal of Applied Probability, 34(1), 208-212.
Asmussen, S. (1995). Stationary distributions via first passage times. In J. H. Dshalalow (Ed.), Advances in queueing theory, methods, and open problems (pp. 79-102). CRC Press.
Asmussen, S. (1995). Stationary distributions for fluid flow models with or without Brownian noise. Comm. Statist. Stochastic Models, 11(1), 21-49.
Hirsch, C., Delaney, G. & Schmidt, V. (2015). Stationary Apollonian Packings. Journal of Statistical Physics, 161(1), 35-72.
Asmussen, S. & Turova, T. S. (1998). Stationarity properties of neural networks. Journal of Applied Probability, 35(4), 783-794.
Asmussen, S., Glynn, P. W. & Thorisson, H. (1992). Stationarity detection in the initial transient problem. ACM Transactions on Modeling and Computer Simulation, 2(2), 130-157.
Jensen, J. L. (1987). Standardized log-likelihood ratio statistics for mixtures of discrete and continuous observations. Annals of Statistics, 15(1), 314-324. https://doi.org/10.1214/aos/1176350268
Asmussen, S., Christensen, B. J. & Thøgersen, J. (2019). Stackelberg equilibrium premium strategies for push-pull competition in a non-life insurance market with product differentiation. Risks, 7(2), Article 49. https://doi.org//10.3390/risks7020049
Kiderlen, M. (2008). Stability results for convex bodies in geometric tomography. Indiana University Mathematics Journal, 57, 1999-2038. https://doi.org/10.1512/iumj.2008.57.3348
Asmussen, S., Ernst, P. & Hasenbein, J. (2016). Stability and tail asymptotics in a multiclass queue with state dependent arrival rates. ArXiv. https://arxiv.org/abs/1609.03999
Ernst, P., Asmussen, S. & Hasenbein, J. (2018). Stability and busy periods in a multiclass queue with state-dependent arrival rates. Queueing Systems, 90(3-4), 207-224. https://doi.org/10.1007/s11134-018-9587-9
Andersen, K. (2011). Split cuts. In J. J. Cochran (Ed.), Wiley Encyclopedia of Operations Research and Management Science (Vol. 8). John Wiley & Sons Ltd. https://doi.org/10.1002/9780470400531.eorms0819
Andersen, K., Cornuéjols, G. & Li, Y. (2005). Split closure and intersection cuts. Mathematical Programming, 102(3), 457-493. https://doi.org/10.1007/s10107-004-0558-z
Andersen, K., Cornuéjols, G. & Li, Y. (2002). Split closure and intersection cuts. In W. J. Cook & A. S. Schulz (Eds.), 9th International IPCO Conference, Proceedings (pp. 127-144) https://link.springer.com/book/10.1007/3-540-47867-1
Goodey, P., Kiderlen, M. & Weil, W. (2011). Spherical projections and liftings in geometric tomography. Advances in Geometry, 11(1), 1-47. https://doi.org/10.1515/ADVGEOM.2010.037
Basse-O'Connor, A. (2009). Spectral representation of Gaussian semimartingales. Journal of Theoretical Probability, 22(4), 811-826. https://doi.org/10.1007/s10959-009-0246-2
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
Jensen, E. B. V., Jónsdóttir, K. Ý., Schmiegel, J. & Barndorff-Nielsen, O. E. (2007). Spatio-temporal modelling: with a view to biological growth. In B. Finkenstadt, L. Held & V. Isham (Eds.), Statistical methods for spatio-temporal systems (pp. 47-76). Chapman /.
Saleem, K., Sorensen, C. K., Labouriau, R. & Hovmoller, M. S. (2019). Spatiotemporal changes in fungal growth and host responses of six yellow rust resistant near-isogenic lines of wheat. Plant Pathology, 68(7), 1320-1330. https://doi.org/10.1111/ppa.13052
Clark, C. D., Ely, J., Spagnolo, M., Hahn, U., Hughes, A. & Stokes, C. (2018). Spatial organization of drumlins. Earth Surface Processes and Landforms, 43(2), 499-513. https://doi.org/10.1002/esp.4192
Hartvig, N. V. & Jensen, J. L. (2000). Spatial mixture modeling of fMRI data. Human Brain Mapping, 11(4), 233-248. https://doi.org/10.1002/1097-0193(200012)11:4<233::AID-HBM10>3.0.CO;2-F
Hahn, U. (2013). sostatpp: an R-package for analysis of hidden second-order stationary point processes. Software, R-Forge. https://r-forge.r-project.org/R/?group_id=1763
Barndorff-Nielsen, O. E., Jensen, J. L. & Sørensen, M. (1998). Some stationary processes in discrete and continuous time. Advances in Applied Probability, 30(4), 989-1007. https://doi.org/10.1239/aap/1035228204

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Lars Madsen