Publications

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Baudoin, F. & Coutin, L. (2005). Étude en temps petit des solutions d'EDS conduites par des mouvements browniens fractionnaires. Comptes Rendus Mathematique, 341(1), 39-42. https://doi.org/10.1016/j.crma.2005.05.010

Asmussen, S. (1986). Estimation theory for multitype branching processes. I J. Janssen (red.), Semi-Markov models: theory and applications (s. 385-395). Plenum Publishing Corporation.

Podolskij, M. & Vetter, M. (2009). Estimation of volatility functionals in the simultaneous presence of microstructure noise and jumps. Bernoulli, 15(3), 634-658. https://doi.org/10.3150/08-BEJ167

Sevón-Aimonen, M.-L., Labouriau, R., Maia, R. P., Haltia, S. & Uimari, P. (2013). Estimation of variance components of sow longevity traits using discrete time model. I Book of Abstracts of the 64th Annual Meeting of the European Association for Animal Production (2013 udg., Bind 19, s. 390). Wageningen Academic Publishers. http://www.eaap.org/Previous_Annual_Meetings/2013Nantes/Nantes_2013_Abstracts.pdf

Kiderlen, M. (2008). Estimation of the mean normal measure from flat sections. Advances in Applied Probability, 40(1), 31-48. https://doi.org/10.1239/aap/1208358885

Mazur, S., Otryakhin, D. & Podolskij, M. (2020). Estimation of the linear fractional stable motion. Bernoulli, 26(1), 226-252. https://doi.org/10.3150/19-BEJ1124

Podolskij, M. & Lebovits, J. (2017). Estimation of the global regularity of a multifractional Brownian motion. Electronic Journal of Statistics, 11(1), 78-98. https://doi.org/10.1214/16-EJS1221

Lebovits, J. & Podolskij, M. (2016). Estimation of the global regularity of a multifractional Brownian motion. Institut for Økonomi, Aarhus Universitet. CREATES Research Paper Nr. 2016-33

Kiderlen, M. & Jensen, E. B. V. (2003). Estimation of the directional measure of planar random sets by digitization. Advances in Applied Probability, 35(3), 583-602.

Ziegel, J. & Kiderlen, M. (2010). Estimation of surface area and surface area measure of three-dimensional sets from digitizations. Image and Vision Computing, 28(1), 64-77. https://doi.org/10.1016/j.imavis.2009.04.013

Jensen, J. L. & Sørensen, M. (1986). Estimation of some aeolian saltation transport parameters: a re- analysis of Williams' data. Sedimentology, 33(4), 547-558. https://doi.org/10.1111/j.1365-3091.1986.tb00760.x

Rønn-Nielsen, A., Sporring, J. & Jensen, E. B. V. (2016). Estimation of sample spacing in stochastic processes. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Bind 17, 2016 http://math.au.dk/forskning/publikationer/instituttets-serier/publication/publid/1091/

Rønn-Nielsen, A., Sporring, J. & Jensen, E. B. V. (2017). Estimation of sample spacing in stochastic processes. Image Analysis and Stereology, 36(1), 43-49. https://doi.org/10.5566/ias.1681

Theil, P. K., Nielsen, T. T., Kristensen, N. B., Labouriau, R., Danielsen, V., Lauridsen, C. & Jakobsen, K. (2002). Estimation of milk production in lactating sows by determination of deuterated water turnover in three piglets per litter. Acta Agriculturae Scandinavica, Section A - Animal Science, 52, 221-232.

Hahn, U. (1998). Estimation of local density in gradient surface and fibre processes. Advances in Applied Probability, 30, 279-280.

Dette, H., Podolskij, M. & Vetter, M. (2006). Estimation of integrated volatility in continuous-time financial models with applications to goodness-of-fit testing. Scandinavian Journal of Statistics, 33(2), 259-278. https://doi.org/10.1111/j.1467-9469.2006.00479.x

Neumann, M., Hirsch, C., Staněk, J., Beneš, V. & Schmidt, V. (2019). Estimation of geodesic tortuosity and constrictivity in stationary random closed sets. Scandinavian Journal of Statistics, 46(3), 848-884. https://doi.org/10.1111/sjos.12375

Kärkkäinen, S. & Jensen, E. B. V. (2001). Estimation of fibre orientation from digital images. Image Analysis and Stereology, 20(3), 199-202. https://doi.org/10.5566/ias.v20.p199-202

Overgaard, M., Parner, E. T. & Pedersen, J. (2018). Estimating the variance in a pseudo-observation scheme with competing risks. Scandinavian Journal of Statistics, 45(4), 923-940. https://doi.org/10.1111/sjos.12328

Thórisdóttir, Ó., H.Rafati, A. & Kiderlen, M. (2014). Estimating the surface area of nonconvex particles from central planar sections. Journal of Microscopy, 255(1), 49–64. https://doi.org/10.1111/jmi.12136

Thórisdóttir, Ó., H.Rafati, A. & Kiderlen, M. (2013). Estimating the surface area of non-convex particles from central planar sections. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Nr. 08 http://math.au.dk/publs?publid=987

Kiderlen, M. (2006). Estimating the Euler Characteristic of a planar set from a digital image. Journal of Visual Communication and Image Representation, 17, 1237-1255.

Dexheimer, N. & Strauch, C. (2022). Estimating the characteristics of stochastic damping Hamiltonian systems from continuous observations. Stochastic Processes and Their Applications, 153, 321-362. https://doi.org/10.1016/j.spa.2022.08.008

Jensen, J. L., Raarup, M. K. & Rubak, E. (2012). Estimating protein-protein interaction affinity in single living cells using Förster resonance energy transfer measurements. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Nr. 12

Ziegel, J. F., Nyengaard, J. R. & Vedel Jensen, E. B. (2015). Estimating Particle Shape and Orientation Using Volume Tensors. Scandinavian Journal of Statistics, 42(3), 813-831. https://doi.org/10.1111/sjos.12138

Davtian, A., Hahn, U., Ohser, J. & Stoyan, D. (2000). Estimating number density $N_V$ - a comparison of an improved Saltykov estimator and the disector method. Image Analysis and Stereology, 19, 209-214.

Hahn, U. & Stoyan, D. (1997). Estimating local surface area density in gradient materials. I Proceedings of International Conference on the Quantitative Description of Materials Microstructure - QMAT '97. Warsaw, 16-19 April 1997 (s. 19-26). Jagiellonian University Press.

Charmouh, A. P., Porsborg, P. S., Hansen, L. T., Besenbacher, S., Boeg Winge, S., Almstrup, K., Hobolth, A., Bataillon, T. & Schierup, M. H. (2025). Estimating Gene Conversion Tract Length and Rate From PacBio HiFi Data. Molecular Biology and Evolution, 42(2), Artikel msaf019. https://doi.org/10.1093/molbev/msaf019

Labouriau, R. (1999). Estimating functions for semiparametric models with moment restrictions. Technical Report of the Biometry Research Unit.

Labouriau, R. (1998). Estimating Functions and Semiparametric Models. Aarhus University.

Mailund, T., Dutheil, J., Hobolth, A., Lunter, G. & Schierup, M. H. (2011). Estimating Divergence Time and Ancestral Effective Population Size of Bornean and Sumatran Orangutan Subspecies Using a Coalescent Hidden Markov Model. PLoS Genetics, 7(3). https://doi.org/10.1371/journal.pgen.1001319

Labouriau, R. (1997). Estimating and quasi-estimating functions. Technical Report of the Biometry Research Unit Nr. 7

Iversen, B. B., Jensen, J. L. & Danielsen, J. (1997). Errors in Maximum-Entropy Charge-Density Distributions Obtained from Diffraction Data. Acta Crystallographica Section A: Foundations and Advances, 53(3), 376-387. https://doi.org/10.1107/S0108767397000792

Asmussen, S. & Kortschak, D. (2015). Error Rates and Improved Algorithms for Rare Event Simulation with Heavy Weibull Tails. Methodology and Computing in Applied Probability, 17(2), 1-21. https://doi.org/10.1007/s11009-013-9371-6

Asmussen, S. & Kortschak, D. (2013). Error rates and improved algorithms for rare event simulation with heavy Weibull tails. T.N. Thiele Centre, Department of Mathematics, Aarhus University. Thiele Research Reports Nr. 02

Kiderlen, M. & Meschenmoser, D. (2009). Error bounds for surface area estimators based on Crofton's formula. Image Analysis and Stereology, 28, 165-177. http://www.wise-t.com/ias/article.php?id=250&year=2009&issue=11

Asmussen, S. (1985). Erratum: "Approximations for the probability of ruin within finite time". Scandinavian Actuarial Journal, (1), 64.

Rheinbay, E., Nielsen, M. M., Abascal, F., Wala, J. A., Shapira, O., Tiao, G., Hornshøj, H., Hess, J. M., Juul, R. I., Lin, Z., Feuerbach, L., Sabarinathan, R., Madsen, T., Kim, J., Mularoni, L., Shuai, S., Lanzós, A., Herrmann, C., Maruvka, Y. E. ... PCAWG Drivers and Functional Interpretation Working Group (2023). Erratum: Author Correction: Analyses of non-coding somatic drivers in 2,658 cancer whole genomes (Nature (2020) 578 7793 (102-111)). Nature, 614(7948), E40. https://doi.org/10.1038/s41586-022-05599-9

Baudoin, F. & Nualart, D. (2005). Erratum: "Equivalence of Volterra processes" (Stochastic Process. Appl. (2003) vol. 107 (327-350) 10.1016/S0304-4149(03)00088-7). Stochastic Processes and Their Applications, 115(4), 701-703. https://doi.org/10.1016/j.spa.2004.11.002

Asmussen, S. (2024). Erlangization/Canadization of Phase-Type Jump Diffusions, with Applications to Barrier Options. Journal of the Indian Society for Probability and Statistics, 25(2), 575-596. https://doi.org/10.1007/s41096-024-00209-5

Asmussen, S., Avram, F. & Usabel, M. (2002). Erlangian approximations for finite-horizon ruin probabilities. ASTIN Bulletin: The Journal of the IAA, 32(2), 267-281.

Basse-O'Connor, A., Nielsen, M. S. & Pedersen, J. (2018). Equivalent martingale measures for Lévy-driven moving averages and related processes. Stochastic Processes and Their Applications, 128(8), 2538-2556. https://doi.org/10.1016/j.spa.2017.09.022

Baudoin, F. & Nualart, D. (2003). Equivalence of Volterra processes. Stochastic Processes and Their Applications, 107(2), 327-350. https://doi.org/10.1016/S0304-4149(03)00088-7

Asmussen, S. (1981). Equilibrium properties of the M/G/1 queue. Zeitschrift für Wahrscheinlichkeitstheorie und Verwandte Gebiete, 58(2), 267-281.

Mahmood, Z., Steenberg, T., Mahmood, K., Labouriau, R. & Kristensen, M. (2019). Endophytic Beauveria bassiana in maize affects survival and fecundity of the aphid Sitobion avenae. Biological Control, 137, Artikel 104017. https://doi.org/10.1016/j.biocontrol.2019.104017

Als, A. B., Andersen, L. D., Maase, H. V. D., Koed, K., Mansilla, F., Toldbod, H., Jensen, J. L., Sengeløv, L., Jensen, K. M.-E., Ørntoft, T. F. & Ulhøi, B. P. (2007). Emmprin and Survivin predict response and survival following cisplatin-containing chemotherapy in patients with advanced bladder cancer. Clinical Cancer Research, 13(15), 4407-14.

Jakobsen, M., Hermansen, J. E., Andersen, H. M.-L., Jørgensen, U., Labouriau, R., Kongsted, A. G. & Rasmussen, J. (2019). Elimination behavior and soil mineral nitrogen load in an organic system with lactating sows – comparing pasture-based systems with and without access to poplar (Populus sp.) trees. Agroecology and Sustainable Food Systems, 43(6), 639-661. https://doi.org/10.1080/21683565.2018.1541039

Asmussen, S., Blanchet, J., Juneja, S. & Rojas-Nandayapa, L. (2008). Efficient simulation of tail probabilities of sums of correlated lognormals. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.

Asmussen, S., Blanchet, J., Juneja, S. & Rojas-Nandayapa, L. (2011). Efficient simulation of tail probabilities of sums of correlated lognormals. Annals of Operations Research, 189(1), 5-23. https://doi.org/10.1007/s10479-009-0658-5

Rojas-Nandayapa, L. & Asmussen, S. (2007). Efficient simulation of finite horizon problems in queueing and insurance risk. Department of Mathematical Sciences , University of Aarhus.

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Revideret 03.03.2026

Lars Madsen