Publications

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Asmussen, S. & Glynn, P. W. (2024). Refined behaviour of a conditioned random walk in the large deviations regime. Bernoulli, 30(1), 371-387. https://doi.org/10.3150/23-BEJ1601

Labouriau, R. & Theil, P. K. (2003). Reducing the size of large experiments and treating missing observations. In Bilag til Temamøde om Biometrianvendelse i planteforskningen (pp. 50-60)

Andersen, K., Cornuéjols, G. & Li, Y. (2005). Reduce-and-split cuts: Improving the performance of mixed integer Gomory cuts. Management Science, 51(11), 1720-1732. https://doi.org/10.1287/mnsc.1050.0382

Hein, J., Jensen, J. L. & Pedersen, C. N. S. (2002). Recursions for Statistical Multiple Alignment. Department of Mathematical Sciences , University of Aarhus.

Hein, J., Pedersen, C. N. S. & Jensen, J. L. (2002). Recursions for Statistical Multiple Alignment. Proceedings of the National Academy of Sciences (PNAS), 100(25), 14960-14965.

Hein, J., Jensen, J. L. & Pedersen, C. N. S. (2003). Recursions for statistical multiple alignment. Proceedings of the National Academy of Sciences (PNAS), 100(25), 14960-14965. https://doi.org/10.1073/pnas.2036252100

Kousholt, A. & Kiderlen, M. (2016). Reconstruction of convex bodies from surface tensors. Advances in Applied Mathematics, 76, 1-33. https://doi.org/10.1016/j.aam.2016.01.001

Kousholt, A. & Kiderlen, M. (2015). Reconstruction of convex bodies from surface tensors. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports No. 10 http://math.au.dk/publs?publid=1046

Kousholt, A. & Kiderlen, M. (2015). Reconstruction of convex bodies from surface tensors. Poster session presented at GPSRS Conference, Bad Herrenalb, Germany.

Eriksen, R. K. & Kiderlen, M. (2023). Reconstructing Planar Ellipses from Translation-Invariant Minkowski Tensors of Rank Two. Discrete & Computational Geometry, 69(4), 1095-1120. https://doi.org/10.1007/s00454-022-00470-0

Jensen, E. B. V. (1991). Recent developments in the stereological analysis of particles. Annals of the Institute of Statistical Mathematics, 43(3), 455-468. https://doi.org/10.1007/BF00053366

Bianchi, G., Gardner, R. J., Gronchi, P. & Kiderlen, M. (2020). Rearrangement and polarization. Advances in Mathematics, 374, Article 107380. https://doi.org/10.1016/j.aim.2020.107380

Christensen, K. & Podolskij, M. (2007). Realized range-based estimation of integrated variance. Journal of Econometrics, 141(2), 323-349. https://doi.org/10.1016/j.jeconom.2006.06.012

Christensen, K., Oomen, R. & Podolskij, M. (2010). Realised quantile-based estimation of the integrated variance. Journal of Econometrics, 159(1), 74-98. https://doi.org/10.1016/j.jeconom.2010.04.008

Neuhäuser, D., Hirsch, C., Gloaguen, C. & Schmidt, V. (2014). Ratio limits and simulation algorithms for the Palm version of stationary iterated tessellations. Journal of Statistical Computation and Simulation, 84(7), 1486-1504.

Asmussen, S. & Kella, O. (1996). Rate modulation in dams and ruin problems. Journal of Applied Probability, 33(2), 523-535.

Asmussen, S., Binswanger, K. & Højgaard, B. (2000). Rare events simulation for heavy-tailed distributions. Bernoulli, 6(2), 303-322.

Asmussen, S. (1996). Rare events in the presence of heavy tails. In P. Glasserman, K. Sigman & D. D. Yao (Eds.), Stochastic networks: stability and rare events (pp. 197-214). Springer.

Hirsch, C., Moka, S. B., Taimre, T. & Kroese, D. P. (2022). Rare Events in Random Geometric Graphs. Methodology and Computing in Applied Probability, 24(3), 1367-1383. https://doi.org/10.1007/s11009-021-09857-7

Shah, R., Hirsch, C., Kroese, D. P. & Schmidt, V. (2014). Rare event probability estimation for connectivity of large random graphs. In Proceedings of the Winter Simulation Conference 2014 (pp. 510-521)

Asmussen, S. (2004). Rare event. In J. Teugels & B. Sundt (Eds.), Encyclopedia of actuarial science (pp. 1378-1379). Wiley.

Asmussen, S. (2004). Random variable. In J. Teugels & B. Sundt (Eds.), Encyclopedia of actuarial science (pp. 3). Wiley.

Brun, M., Hirsch, C. P., Juhász, P. & Otto, M. (2025). Random Connection Hypergraphs. https://arxiv.org/pdf/2407.16334

Baudoin, F., Grong, E., Kuwada, K., Neel, R. & Thalmaier, A. (2020). Radial processes for sub-riemannian brownian motions and applications. Electronic Journal of Probability, 25, 1-7. Article 97. https://doi.org/10.1214/20-EJP501

Asmussen, S. (1992). Queueing simulation in heavy traffic. Math. Oper. Res., 17(1), 84-111.

Bethuelsen, S. A., Hirsch, C. & Mönch, C. (2021). Quenched invariance principle for random walks on dynamically averaging random conductances. Electronic Communications in Probability, 26, 1-13. Article 69. https://doi.org/10.1214/21-ECP440

Baudoin, F., Kuijper, T. & Wang, J. (2025). Quaternionic stochastic areas on quaternionic full flag manifolds and applications.

Baudoin, F., Demni, N. & Wang, J. (2021). Quaternionic stochastic areas. Stochastic Processes and Their Applications, 131, 311-339. https://doi.org/10.1016/j.spa.2020.09.002

Baudoin, F., Demni, N. & Wang, J. (2021). Quaternionic Brownian Windings. Journal of Theoretical Probability, 34(4), 2368-2385. https://doi.org/10.1007/s10959-020-01034-9

Barndorff-Nielsen, O. E. & Basse-O'Connor, A. (2011). Quasi Ornstein-Uhlenbeck processes. Bernoulli, 17(3), 916-941. https://doi.org/10.3150/10-BEJ311

Baudoin, F., Gordina, M. & Melcher, T. (2024). Quasi-Invariance for Infinite-Dimensional Kolmogorov Diffusions. Potential Analysis, 60(2), 807-831. https://doi.org/10.1007/s11118-023-10070-z

Baudoin, F., Gordina, M. & Melcher, T. (2013). Quasi-invariance for heat kernel measures on sub-riemannian infinite-dimensional heisenberg groups. Transactions of the American Mathematical Society, 365(8), 4313-4350. https://doi.org/10.1090/S0002-9947-2012-05778-3

Nourdin, I., Peccati, G. & Podolskij, M. (2011). Quantitative Breuer-Major theorems. Stochastic Processes and Their Applications, 121(4), 793-812. https://doi.org/10.1016/j.spa.2010.12.006

Sørensen, K. K., Kirk, H. G., Olsson, K., Labouriau, R. & Christiansen, J. (2006). QTLs for glycoalkaloid content in potato tubers exposed to light. In EAPR- EUCARPIA The Science of Selection: Potato Breeding Methodology for the 21^st Century

Madsen, M. H., Kirk, H. G., Madsen, D. K., Sørensen, K. K. & Labouriau, R. (2002). QTL mapping of starch phosphorylation in potatoes. In Nordic Starch Network Seminar (pp. 5)

Thirstrup, J. P., Labouriau, R., Guldbrandtsen, B., Anistoroaei, R. M., Christensen, K., Fredholm, M. & Nielsen, V. H. (2011). QTL-mapping in mink (Neovison vison) shows evidence for QTL for guard hair thickness, guard hair length and skin length. In NJF-Seminar no. 450, Fur Animal Research, Autumn Meeting

Lund, M. S., Sørensen, P. & Labouriau, R. (2005). QTL (fine) mapping using variance components models for multi-trait, longitudunal and non-normal data. In B. Freyer & K. Biebler (Eds.), Biometrie und Medizinsche Informatik Greifswalder Seminarbereichte (Vol. 10, pp. 1-16). Shaker Verlag.

Overgaard, M., Parner, E. T. & Pedersen, J. (2019). Pseudo-observations under covariate-dependent censoring. Journal of Statistical Planning and Inference, 202(September), 112-122. https://doi.org/10.1016/j.jspi.2019.02.003

Jensen, J. L. & Møller, J. (1991). Pseudolikelihood for exponential family models of spatial point processes. Annals of Applied Probability, 1(3), 445-461. http://www.jstor.org/stable/2959747

Christensen, O. F., Hobolth, A. & Jensen, J. L. (2004). Pseudo-likelihood analysis of context-dependent codon substitution models. (pp. A-59).

Christensen, O. F., Hobolth, A. & Jensen, J. L. (2005). Pseudo-likelihood analysis of codon substitution models with neighbor dependent rates. Journal of Computational Biology, 12, 1166-1182.

Last, K. B., Rindom, E., Labouriau, R., Henriksen, P. G. & Wang, T. (2025). Protein synthesis increases with meal size and correlates with postprandial metabolic rate and organ mass in Burmese pythons (Python bivittatus). Comparative Biochemistry and Physiology -Part A : Molecular and Integrative Physiology, 309, Article 111916. https://doi.org/10.1016/j.cbpa.2025.111916

Niemann, T., Labouriau, R., Sørensen, H. T., Thorsgaard, N. & Nielsen, T. T. (2004). Prognostic impact of different regional referral practices for interventional investigation and coronary treatment after exercise testing: a population-based 5-year follow-up study. Journal of Internal Medicine, 255(4), 478-485.

Niemann, T., Labouriau, R., Sørensen, H. T., Thorsgaard, N. & Nielsen, T. T. (2004). Prognostic impact of different regional referral practice for interventional investigation and coronary treatment after excerse testing: A populationbased 5-year follow-up study. Journal of Internal Medicine, 255(4), 478-485. https://doi.org/10.1111/j.1365-2796.2004.01307.x

Friggens, N. C. & Labouriau, R. (2010). Probability of pregnancy as affected by oestrus number and days to first oestrus in dairy cows of three breeds and parities. Animal Reproduction Science, 118(2), 155-162. https://doi.org/10.1016/j.anireprosci.2009.08.009

Jensen, J. L. & Pedersen, A.-M. K. (2000). Probabilistic models of DNA sequence evolution with context dependent rates of substitution. Advances in Applied Probability, 32(2), 499-517. https://doi.org/10.1239/aap/1013540176

Asmussen, S. & Ramaswami, V. (1990). Probabilistic interpretations of some duality results for the matrix paradigms in queueing theory. Comm. Statist. Stochastic Models, 6(4), 715-733.

Rasmus, S., Asmussen, S. & Wiktorsson, M. (2004). Pricing of some exotic options with NIG-Levy input. In M. Burbak (Ed.), Computational science - ICCS 2004 (pp. 795-802). Springer.

Asmussen, S., Madan, D. & Pistorius, M. (2005). Pricing equity default swaps using the CGMY Levy process.

Asmussen, S., Madan, D. & Pistorius, M. (2008). Pricing equity default swaps under an approximation to the CGMY Lévy model. Journal of Computational Finance, 11(2), 79-93.

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Revised 03.03.2026

Lars Madsen