Find

For students
For PhDs
For employees

Department of Mathematics

Publications

All data comes from articles registered in PURE.

Sort by: Date | Author | Title

Jonsdottir, K. Y., Hahn, U. & Jensen, E. B. V. (2004). Inhomogeneous spatial point processes, with a view to spatio-temporal modelling. In A. Baddeley, P. Gregori, J. Mateu, R. Stoica & D. Stoyan (Eds.), Spatial point process modelling and its applications (pp. 131-136). Publicacions de la Universitat Jaume I.

Hahn, U., Jensen, E. B. V., van Lieshout, M.-C. & Nielsen, L. S. (2003). Inhomogeneous spatial point processes by location-dependent scaling. Advances in Applied Probability, 35(2), 319-336.

Jensen, E. B. V. & Nielsen, L. S. (2000). Inhomogeneous Markov point processes by transformation. Bernoulli, 6(5), 761-782. https://doi.org/10.2307/3318755

Thomsen, R., Edwards, S. A., Rousing, T., Labouriau, R. & Sørensen, J. T. (2016). Influence of social mixing and group size on skin lesions and mounting in organic entire male pigs. Animal, 10(7), 1225-1233. https://doi.org/10.1017/S1751731116000069

Kirk, H. G. & Labouriau, R. (2002). Influence of Maturity on Field Resistance against Late Blight. In Proceedings EAPR

Kirk, H. G. & Labouriau, R. (2002). Influence of Maturity on Field Resistance against Late Blight. In Proceedings GILB

Hirsch, C., Holmes, M. & Kleptsyn, V. (2023). Infinite WARM graphs III: Strong reinforcement regime. Nonlinearity, 36(6), 3013-3042. https://doi.org/10.1088/1361-6544/acc9a0

Madsen, T., Nielsen, M. M., Pedersen, J. S., PCAWG Evolution and Heterogeneity Working Group & PCAWG Consortium (2020). Inferring structural variant cancer cell fraction. Nature Communications, 11(1), Article 730. https://doi.org/10.1038/s41467-020-14351-8

Andersen, L. N. (2011). Inferring Population Histories In The IM-model Using Site Pattern Analysis. Poster session presented at SMBE 2011, Kyoto, Japan.

Nielsen, S., Simonsen, S. & Hobolth, A. (2016). Inferring Population Genetic Parameters: Particle Filtering, HMM, Ripley’s K-Function or Runs of Homozygosity? In M. Frith & C. Nørgaard Storm Pedersen (Eds.), Algorithms in Bioinformatics - 16th International Workshop, WABI 2016, Proceedings (Vol. 9838, pp. 234-245). Springer. https://doi.org/10.1007/978-3-319-43681-4_19

Tataru, P., Bataillon, T. & Hobolth, A. (2015). Inference Under a Wright-Fisher Model Using an Accurate Beta Approximation. Genetics, 201(3), 1133-1141.

Bataillon, T., Duan, J., Hvilsom, C., Jin, X., Li, Y., Skov, L., Glemin, S., Munch, K., Jiang, T., Qian, Y., Hobolth, A., Wang, J., Mailund, T., Siegismund, H. R. & Schierup, M. H. (2015). Inference of purifying and positive selection in three subspecies of chimpanzees (Pan troglodytes) from exome sequencing. Genome Biology and Evolution, 7(4), 1122-32. https://doi.org/10.1093/gbe/evv058

Labouriau, R. (2020). Inference Functions for Semiparametric Models. ArXiv. http://arxiv.org/abs/2011.07275

Christensen, K., Podolskij, M., Thamrongrat, N. & Veliyev, B. (2017). Inference from high-frequency data: A subsampling approach. Journal of Econometrics, 197(2), 245–272. https://doi.org/10.1016/j.jeconom.2016.07.010

Jensen, J. L. (1986). Inference for the mean of a gamma distribution with unknown shape parameter. Scandinavian Journal of Statistics, 13(2), 135-151. http://www.jstor.org/stable/4616018

Andersen, K., Louveaux, Q., Weismantel, R. & Wolsey, L. (2007). Inequalities from two rows of a simplex tableau. In M. Fischetti & D. P. Williamson (Eds.), 12th International IPCO Conference, Proceedings (pp. 1-15). Springer. https://doi.org/10.1007/978-3-540-72792-7_1

Hobolth, A., Dutheil, J., Hawks, J., Schierup, M. H. & Mailund, T. (2011). Incomplete lineage sorting patterns among human, chimpanzee and orangutan suggest recent orangutan speciation and widespread selection. Genome Research, 21(3), 349-356. https://doi.org/10.1101/gr.114751.110

Stehr, M. & Kiderlen, M. (2020). Improving the Cavalieri estimator under non-equidistant sampling and dropouts. Image Analysis and Stereology, 39(3), 197-212. https://doi.org/10.5566/ias.2422

Madsen, M. H., Kirk, H. G., Sørensen, K. K. & Labouriau, R. (2000). Improving potato starch applicability. In Nordic Starch Network Seminar

Madsen, M. H., Kirk, H. G., Sørensen, K. K. & Labouriau, R. (2001). Improving potato starch applicability. In Øforsk workshop (pp. 13-13)

Keller, K. K., Andersen, I. T., Andersen, J. B., Hahn, U., Stengaard-Pedersen, K., Hauge, E. M. & Nyengaard, J. R. (2013). Improving efficiency in stereology: a study applying the proportionator and the autodisector on virtual slides. Journal of Microscopy, 251(1), 68-76. https://doi.org/10.1111/jmi.12044

Stehr, M., Kiderlen, M. & Dorph-Petersen, K.-A. (2022). Improving Cavalieri volume estimation based on non-equidistant planar sections: The trapezoidal estimator. Journal of Microscopy, 288(1), 40-53. https://doi.org/10.1111/jmi.13141

Larsen, P. V., Blæsild, P. & Sørensen, M. K. (2002). Improved likelihood ratio tests on the von Mises-Fisher distribution. Biometrika, 89(4), 947-951.

Gomez, A. I., Kiderlen, M. & Pausinger, F. (2022). Improved entropy bounds for parity filtered self-timed ring based random number generators. Information Processing Letters, 174, Article 106212. https://doi.org/10.1016/j.ipl.2021.106212

Baudoin, F. & Munteanu, O. (2021). Improved Beckner–Sobolev Inequalities on Kähler Manifolds. Journal of Geometric Analysis, 31(1), 100-125. https://doi.org/10.1007/s12220-019-00252-w

Asmussen, S. & Kroese, D. P. (2004). Improved Algorithms for Rare Event Simulation with Heavy Tails. MaPhySto, Aarhus Universitet.

Asmussen, S. & Kroese, D. P. (2006). Improved algorithms for rare event simulation with heavy tails. Advances in Applied Probability, 38(2), 545-558.

Hobolth, A., Uyenoyama, M. K. & Wiuf, C. (2008). Importance sampling for the infinite sites model. Statistical Applications in Genetics and Molecular Biology, 7(1). https://doi.org/10.2202/1544-6115.1400

Asmussen, S. (2008). Importance Sampling for Failure Probabilities in Computing and Data Transmission. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.

Asmussen, S. (2009). Importance sampling for failure probabilities in computing and data transmission. Journal of Applied Probability, 46(3), 768-790. https://doi.org/10.1239/jap/1253279851

Dorph-Petersen, K.-A., Ziegel, J., Baddeley, A. & Jensen, E. B. V. (2011). Imperfect systematic sampling. Assessing the effect of non-constant intersectional distance on the precision of the Cavalieri estimator. Abstract from The 13th International Congress for Stereology, Beijing, China.

Niemann, T., Labouriau, R., Sorensen, H. T., Thorsgaard, N. & Nielsen, T. T. (2003). Impact on prognosis of regional different referral for coronary angiography after exercise testing: A population-based follow-up study. In Proc. XIX Nordic Congress of Cardiology (pp. 40)

Ansarifar, S., Andreikė, G., Nazari, M., Labouriau, R., Nabavi, S. & Moreno, A. (2023). Impact of volume and expression time in an AAV-delivered channelrhodopsin. Molecular Brain, 16(1), Article 77. https://doi.org/10.1186/s13041-023-01067-1

Hansen, L. V., Kiderlen, M. & Jensen, E. B. V. (2011). Image-Based Empirical Importance Sampling: An Efficient Way of Estimating Intensities. Scandinavian Journal of Statistics, 38(3), 393-408. https://doi.org/10.1111/j.1467-9469.2010.00725.x

Andersen, L. D., Andersen, T. T., Kruhøffer, M., Jensen, J. L., Marcussen, N., Dutoit, S. J. H., Wolf, H. & Ørntoft, T. F. (2003). Identifying distinct classes of bladder carcinoma using microarrays. Nature Genetics, 33, 90-96. https://doi.org/10.1038/ng1061

Bernvil, S. S., Jensen, E. B. & Vaeth, M. (1985). Identification of carriers of haemophilia A. Ugeskrift for Læger, 147(13), 1105-1108.

Baudoin, F. & Teichmann, J. (2005). Hypoellipticity in infinite dimensions and an application in interest rate theory. Annals of Applied Probability, 15(3), 1765-1777. https://doi.org/10.1214/105051605000000214

Baudoin, F. & Tardif, C. (2018). Hypocoercive estimates on foliations and velocity spherical Brownian motion. Kinetic and Related Models, 11(1), 1-23. https://doi.org/10.3934/KRM.2018001

Penner, R., Andersen, E. S., Jensen, J. L., Kantcheva, A. K., Bublitz, M., Nissen, P., Rasmussen, A. M. H., Svane, K. L., Hammer, B., Rezazadegan, R., Nielsen, N. C., Nielsen, J. T. & Andersen, J. E. (2014). Hydrogen bond rotations as a uniform structural tool for analyzing protein architecture. Nature Communications, 5, Article 5803. https://doi.org/10.1038/ncomms6803

Labouriau, R. & Amorim, A. (2008). Human Fertility Increases with the Marital-radius. Genetics, 178, 601-603. https://doi.org/10.1534/genetics.107.072454

Baudoin, F., Grong, E., Rizzi, L. & Vega-Molino, G. (2022). H-type foliations. Differential Geometry and its Application, 85, Article 101952. https://doi.org/10.1016/j.difgeo.2022.101952

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

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

Ton Nu, M. A., Blaabjerg, K., Labouriau, R. & Poulsen, H. D. (2015). High moisture airtight storage of barley and triticale: Effect of moisture level and grain processing on nitrogen and phosphorus solubility. Animal Feed Science and Technology, 210, 125-137. https://doi.org/10.1016/j.anifeedsci.2015.09.017

Duembgen, M. & Podolskij, M. (2015). High-frequency asymptotics for path-dependent functionals of Ito semimartingales. Stochastic Processes and Their Applications, 125(4), 1195-1217. https://doi.org/10.1016/j.spa.2014.08.007

Sinharay, S. & Jensen, J. L. (2019). Higher-Order Asymptotics and Its Application to Testing the Equality of the Examinee Ability Over Two Sets of Items. Psychometrika, 84(2), 484-510. https://doi.org/10.1007/s11336-018-9627-8

Abreu, G. C. G., Edwards, D. & Labouriau, R. (2010). High-Dimensional Graphical Model Search with the gRapHD R Package. Journal of Statistical Software, 37(1), 1-18. http://www.jstatsoft.org/v37/i01/

Abreu, G. C. G. D., Labouriau, R. & Edwards, D. (2009). High-dimensional Graphical Model Search with gRapHD R Package. ArXiv. http://arxiv.org/abs/0909.1234

Christensen, K., Nielsen, M. S. & Podolskij, M. (2023). High-dimensional estimation of quadratic variation based on penalized realized variance. Statistical Inference for Stochastic Processes, 26(2), 331-359. https://doi.org/10.1007/s11203-022-09282-8

Bak, B. A. & Jensen, J. L. (2015). High dimensional classifiers in the imbalanced case. T.N. Thiele Centre, Department of Mathematics, Aarhus University. Thiele Research Reports No. 04 http://math.au.dk/publs?publid=1041

Displaying results 751 to 800 out of 1342

16

Revised 10.06.2026

-

Lars Madsen