Publications

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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. J. Appl. Probab., 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.

Baandrup, J., Markvardsen, L. H., Peters, C. D., Schou, U. K., Jensen, J. L., Magnusson, N. E., Ørntoft, T. F., Kruhøffer, M. & Simonsen, U. (2011). Pressure load: the main factor for altered gene expression in right ventricular hypertrophy in chronic hypoxic rats. PLoS One, 6(1), e15859. https://doi.org/10.1371/journal.pone.0015859

Baudoin, F. & Rizzi, L. (2025). Preface. Contemporary Mathematics, 809, vii.

Dorph-Petersen, K.-A., Ziegel, J., Baddeley, A. & Jensen, E. B. V. (2016). Prediction of the variance of stereological volume estimates in systematic sampling with errors in sampling locations. Abstract from AU Workshop on Stochastic Geometry, Stereology and their Applications, Sønderborg, Denmark.

Christiansen, M. C., Hirsch, C. & Schmidt, V. (2014). Prediction of regionalized car insurance risks based on control variates. Statistics Risk Modeling, 31(2), 163-181.

Bülow, E., Hahn, U., Andersen, I. T., Rolfson, O., Pedersen, A. B. & Hailer, N. P. (2022). Prediction of Early Periprosthetic Joint Infection After Total Hip Arthroplasty. Clinical Epidemiology, 14, 239-253. https://doi.org/10.2147/CLEP.S347968

Hahn, U. & Sandau, K. (1989). Precision of surface area estimation using spatial grids. Acta Stereologica, 8(2), 425.

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Revised 06.01.2026

Lars Madsen