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Barndorff-Nielsen, O. E. & Thorbjørnsen, S. (2002). Lévy laws in free probability. Proc. Nat. Acad. Sci., 99(26), 16568-16575.

Basse-O'Connor, A. & Pedersen, J. (2009). Lévy driven moving averages and semimartingales. Stochastic Processes and Their Applications, 119(9), 2970-2991. https://doi.org/10.1016/j.spa.2009.03.007

Jónsdóttir, K. Ý., Rønn-Nielsen, A., Mouridsen, K. & Jensen, E. B. V. (2013). Lévy-based modelling in brain imaging. Scandinavian Journal of Statistics, 40(3), 511-529. https://doi.org/10.1002/sjos.12000

Jónsdóttir, K. Ý., Schmiegel, J. & Jensen, E. B. V. (2008). Lévy-based growth models. Bernoulli, 14(1), 62-90. https://doi.org/10.3150/07-BEJ6130

Jónsdóttir, K. Ý. & Jensen, E. B. V. (2013). Lévy-based error prediction in circular systematic sampling. Image Analysis and Stereology, 32(2), 117-125. https://doi.org/10.5566/ias.v32.p117-125

Prokesova, M., Hellmund, G. & Jensen, E. B. V. (2006). Lévy based Cox processes for spatio-temporal modelling In A. M. Militino, M. D. Ugarte, B. Gonzalez-Ramajo & T. Goicoa (Eds.), Proceedings of the International Workshop on Spatio-Temporal Modelling (METMA3) (pp. 247-250). Instituto de Estadistica de Navarra.

Hellmund, G., Prokesová, M. & Jensen, E. B. V. (2008). Lévy based Cox point processes. Advances in Applied Probability, 40(3), 603-629. https://doi.org/10.1239/aap/1222868178

Pandey, M., Chakrabarty, A. & Chakraborty, S. (2022). Length of stationary Gaussian excursions. Proceedings of the American Mathematical Society, 151(3), 1339-1348. https://www.ams.org/journals/proc/2023-151-03/S0002-9939-2022-16245-5/S0002-9939-2022-16245-5.pdf

Christensen, S., Strauch, C. & Trottner, L. (2024). Learning to reflect: A unifying approach for data-driven stochastic control strategies. Bernoulli, 30(3), 2074-2101. https://doi.org/10.3150/23-BEJ1665

Heick, T. M., Jørgensen, L. N., Justesen, A. F. & Labouriau, R. (2018). Leaf disease control in sugar beet performed early before appearance of visual symptoms. Poster session presented at 76th IIRB congress, Deauville, France.

Andreis, L., Bassetti, F. & Hirsch, C. (2026). LDP for the covariance process in fully connected Gaussian neural networks. Electronic Journal of Probability, 31, Article 22. https://doi.org/10.1214/26-EJP1477

Elkjær, K., Labouriau, R., Ancker, M.-L., Gustafsson, H. & Callesen, H. (2013). Large-scale study on effects of metritis on reproduction in Danish Holstein cows. Journal of Dairy Science, 96(1), 372-377. https://doi.org/10.3168/jds.2012-5584

Kampf, J. & Kiderlen, M. (2011). Large parallel volumes of finite and compact sets in d-dimensional Euclidean space. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University.

Kiderlen, M. & Kampf, J. (2013). Large Parallel Volumes of Finite and Compact Sets in d-Dimensional Euclidean Space. Documenta Mathematica, 18, 275-295. http://www.math.uni-bielefeld.de/documenta/vol-18/09.html

Asmussen, S. & Klüppelberg, C. (1996). Large deviations results for subexponential tails, with applications to insurance risk. Stochastic Process. Appl., 64(1), 103-125.

Hirsch, C. & Willhalm, D. (2025). Large deviations of one-hidden-layer neural networks. Stochastics and Dynamics, 24(8), Article 2550002. https://doi.org/10.1142/S0219493725500029

Hirsch, C., Jahnel, B., Keeler, P. & Patterson, R. (2018). Large deviations in relay-augmented wireless networks. Queueing Systems, 88(3-4), 349-387. https://doi.org/10.1007/s11134-017-9555-9

Asmussen, S. (2002). Large deviations in rare events simulation: examples, counterexamples and alternatives. In K.-T. Fang, F. J. Hickernell & H. Niederreiter (Eds.), Monte Carlo and quasi-Monte Carlo methods 2000: proceedings of a conference held at Hong Kong baptist University, Hong Kong SAR, China, November 27 - December 1, 2000 (pp. 1-9). Springer.

Hirsch, C. P., Otto, M., Owada, T. & Thäle, C. (2023). LARGE DEVIATIONS FOR THE VOLUME OF HYPERBOLIC k-NEAREST NEIGHBOR BALLS.

Hirsch, C., Otto, M., Owada, T. & Thäle, C. (2025). Large deviations for the volume of hyperbolic k-nearest neighbor balls. Annales de l'institut Henri Poincare (B) Probability and Statistics, 61(2), 1443-1457. https://doi.org/10.1214/23-AIHP1458

Asmussen, S., Frantz, P., Jobmann, M. & Schwefel, H. P. (2002). Large deviations and fast simulation in the presence of boundaries. Stochastic Processes and Their Applications, 102, 1-23.

Asmussen, S. & Thorisson, H. (1988). Large deviation results for time-dependent queue length distributions. Comm. Statist. Stochastic Models, 4(1), 99-116.

Hirsch, C., Jahnel, B., Keeler, P. & Patterson, R. IA. (2016). Large deviation principles for connectable receivers in wireless networks. Advances in Applied Probability, 48(4), 1061-1094.

Jensen, J. L. & Wood, A. T. A. (1998). Large deviation and other results for minimum contrast estimators. Annals of the Institute of Statistical Mathematics, 50(4), 673-695. https://doi.org/10.1023/A:1003708829482

Hirsch, C. & Petráková, M. (2025). Large-Deviation Analysis for Canonical Gibbs Measures. Journal of Statistical Physics, 192(5), Article 71. https://doi.org/10.1007/s10955-025-03451-8

Asmussen, S., Henriksen, L. F. & Klüppelberg, C. (1994). Large claims approximations for risk processes in a Markovian environment. Stochastic Process. Appl., 54(1), 29-43.

Asmussen, S. (1991). Ladder heights and the Markov-modulated M/G/1 queue. Stochastic Process. Appl., 37(2), 313-326.

Asmussen, S. & Schmidt, V. (1995). Ladder height distributions with marks. Stochastic Process. Appl., 58(1), 105-119.

Baudoin, F. (2024). Korevaar–Schoen–Sobolev spaces and critical exponents in metric measure spaces. Annales Fennici Mathematici, 49(2), 487-527. https://doi.org/10.54330/AFM.147513

Baudoin, F. (2022). Korevaar-Schoen-Sobolev spaces and critical exponents in metric measure spaces. https://doi.org/10.48550/arXiv.2207.12191

Alonso Ruiz, P. & Baudoin, F. (2025). Korevaar–Schoen p-energies and their Γ-limits on Cheeger spaces. Nonlinear Analysis: Theory, Methods & Applications, 256, Article 113779. https://doi.org/10.1016/j.na.2025.113779

Ruiz, P. A. & Baudoin, F. (2024). Korevaar-Schoen $p$-energies and their $Γ$-limits on Cheeger spaces.

Jensen, E. B. V. & Stoyan, D. (2003). Joseph Mecke: an appreciation. Advances in Applied Probability, 35(1), 1-3. https://doi.org/10.1239/aap/1046366095

Neuhaeuser, D., Hirsch, C., Gloaguen, C. & Schmidt, V. (2015). Joint distributions for total lengths of shortest-path trees in telecommunication networks. annals of telecommunications-annales des télécommunications, 70(5), 221-232.

Andersen, J. & Klose, A. (2011). Iterated local search and record-to-record travel applied to the fixed charge transportation problem. Abstract from OR 2011 - International Conference on Operations Research, Zürich, Switzerland. http://www.or2011.ch/index

Frydenberg, M. & Jensen, J. L. (1989). Is the 'improved likelihood ratio statistic' really improved in the discrete case? Biometrika, 76(4), 655-661. https://doi.org/10.1093/biomet/76.4.655

Christensen, K., Hounyo, U. & Podolskij, M. (2018). Is the diurnal pattern sufficient to explain intraday variation in volatility? A nonparametric assessment. Journal of Econometrics, 205(2), 336-362. https://doi.org/10.1016/j.jeconom.2018.03.016

Mühlfeld, C., Weibel, E. R., Hahn, U., Kummer, W., Nyengaard, J. R. & Ochs, M. (2010). Is length an appropriate estimator to characterize pulmonary alveolar capillaries? A critical evaluation in the human lung. Anatomical Record, 293(7), 1270-1275. https://doi.org/10.1002/ar.21158

Birck, A., Christensen, P., Labouriau, R., Pedersen, J. & Borchersen, S. (2010). In vitro induction of the acrosome reaction in bull sperm and the relationship to field fertility using low-dose inseminations. Theriogenology, 73(9), 1180-1191. https://doi.org/10.1016/j.theriogenology.2009.10.010

Hasselholt, S., Stephensen, H. J. T., Janssen, D., Molnar, K., Andersen, A. H., Dubois, A., Hahn, U., Wang, Y., Sporring, J., Xu, Z. & Nyengaard, J. R. (2024). Investigating the Role of ADGRV1 in ALS Using a Novel Mouse Model. Abstract from The 7th Danish Bioimaging Scientific Symposium, Copenhagen, Denmark.

Kiderlen, M. (2010). Introduction into integral geometry and stereology. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.

Kiderlen, M. (2013). Introduction into integral geometry and stereology. In E. Spodarev (Ed.), Stochastic geometry, spatial statistics and random fields: Asymptotic methods (pp. 21-48). Springer. https://doi.org/10.1007/978-3-642-33305-7_2

Andersen, K. & Jensen, A. N. (2013). Intersection cuts for mixed integer conic quadratic sets. In M. Goemans & J. Correa (Eds.), 16th International IPCO Conference, Proceedings (pp. 37-48). Springer. https://doi.org/10.1007/978-3-642-36694-9_4

Shanmugam, S., Hefner, M., Labouriau, R., Trinchera, A., Willekens, K. & Kristensen, H. L. (2022). Intercropping and fertilization strategies to progress sustainability of organic cabbage and beetroot production. European Journal of Agronomy, 140, Article 126590. https://doi.org/10.1016/j.eja.2022.126590

Paczkowska, M., Barenboim, J., Sintupisut, N., Fox, N. S., Zhu, H., Abd-Rabbo, D., Mee, M. W., Boutros, P. C., PCAWG Drivers and Functional Interpretation Working Group, Reimand, J. & PCAWG Consortium (2020). Integrative pathway enrichment analysis of multivariate omics data. Nature Communications, 11(1), Article 735. https://doi.org/10.1038/s41467-019-13983-9

Baudoin, F., Feng, Q. & Gordina, M. (2019). Integration by parts and quasi-invariance for the horizontal Wiener measure on foliated compact manifolds. Journal of Functional Analysis, 277(5), 1362-1422. https://doi.org/10.1016/j.jfa.2019.06.006

Baudoin, F. & Demni, N. (2018). Integral representation of the sub-elliptic heat kernel on the complex anti-de Sitter fibration. Archiv der Mathematik, 111(4), 399-406. https://doi.org/10.1007/s00013-018-1201-1

Basse-O'Connor, A. (2011). Integrability of seminorms. Electronic Journal of Probability, 16, 216-229. http://www.math.washington.edu/~ejpecp/include/getdoc.php?id=5880&article=2182&mode=pdf

Scally, A., Dutheil, J. Y., Hillier, L. W., Jordan, G. E., Goodhead, I., Herrero, J., Hobolth, A., Lappalainen, T., Mailund, T., Marques-Bonet, T., McCarthy, S., Montgomery, S. H., Schwalie, P. C., Tang, Y. A., Ward, M. C., Xue, Y., Yngvadottir, B., Alkan, C., Andersen, L. N. ... Durbin, R. (2012). Insights into hominid evolution from the gorilla genome sequence. Nature, 483(7388), 169-75. https://doi.org/10.1038/nature10842

Hahn, U. & Jensen, E. B. V. (2013). Inhomogeneous spatial point processes with hidden second-order stationarity. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Vol. 2013 No. 07 http://math.au.dk/publs?publid=985

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Lars Madsen