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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

Bak, B. A. & Jensen, J. L. (2016). High dimensional classifiers in the imbalanced case. Computational Statistics & Data Analysis, 98, 46-59. https://doi.org/10.1016/j.csda.2015.12.009

Hahn, U. & Jensen, E. B. V. (2016). Hidden Second-order Stationary Spatial Point Processes. Scandinavian Journal of Statistics, 43(2), 455-475. https://doi.org/10.1111/sjos.12185

Hinrichsen, L. K., Labouriau, R., Engberg, R. M., Knierim, U. & Sørensen, J. T. (2016). Helminth infection is associated with hen mortality in Danish organic egg production. Veterinary Record, 179(8), 196. https://doi.org/10.1136/vr.103614

Asmussen, S., Kroese, D. P. & Rubinstein, R. Y. (2003). Heavy Tails, Importance Sampling and Cross-Entropy. MaPhySto, University of Aarhus. http://www.maphysto.dk/cgi-bin/w3-msql/publications2/index.html

Asmussen, S., Kroese, D. P. & Rubinstein, R. Y. (2005). Heavy tails, importance sampling and cross-entropy. Stochastic Models, 21, 57-76.

Baudoin, F. & Chen, L. (2023). Heat kernel gradient estimates for the Vicsek set.

Baudoin, F. & Chen, L. (2024). Heat kernel gradient estimates for the Vicsek set. Mathematische Nachrichten, 297(12), 4450-4477. https://doi.org/10.1002/mana.202400180

Baudoin, F. (2021). Heat flow and sets of finite perimeter. Notices of the American Mathematical Society, 68(4), 582-583. https://doi.org/10.1090/noti2257

Asmussen, S. & Glynn, P. W. (2010). Harris Recurrence and MCMC: A Simplified Approach. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.

Chen, L. (2018). Hardy spaces on metric measure spaces with generalized sub-Gaussian heat kernel estimates. Journal of the Australian Mathematical Society, 104(2), 162-194. https://doi.org/10.1017/S144678871700012X

Chen, H., Pelizzola, M. & Futschik, A. (2023). Haplotype based testing for a better understanding of the selective architecture. BMC Bioinformatics, 24(1), Article 322. https://doi.org/10.1186/s12859-023-05437-3

Bañuelos, R., Baudoin, F. & Chen, L. (2020). Gundy–Varopoulos martingale transforms and their projection operators on manifolds and vector bundles. Mathematische Annalen, 378(1-2), 359-388. https://doi.org/10.1007/s00208-019-01825-4

Christensen, J. T., Azeez, M. O., Munkholm, L. J., Kristensen, H. L., Labouriau, R. & Rubæk, G. H. (2017). Growth of barley roots in a sandy soil after 74 years of contrasting applications of lime and superphosphate. Abstract from XVIII International Plant Nutrition Colloquium, Copenhagen, Denmark.

Jørgensen, B., Labouriau, R., Lundbye-Christensen, S. & Institut for Elektroniske Systemer, Aalborg Universitetscenter (1991). Growth curve analysis based on exponential dispersion models. R / Aalborg Universitetscenter, Institut for Elektroniske Systemer.

Akhter, M. J., Melander, B., Mathiassen, S. K., Labouriau, R., Nielsen, S. V. & Kudsk, P. (2020). Growth and Phenology of Vulpia Myuros in Comparison with Apera Spica-Venti, Alopecurus Myosuroides and Lolium Multiflorum in Monoculture and in Winter Wheat. Plants, 9(11), 1-20. Article 1495. https://doi.org/10.3390/plants9111495

Prado-Martinez, J., Sudmant, P. H., Kidd, J. M., Li, H., Kelley, J. L., Lorente-Galdos, B., Veeramah, K. R., Woerner, A. E., O'Connor, T. D., Santpere, G., Cagan, A., Theunert, C., Casals, F., Laayouni, H., Munch, K., Hobolth, A., Halager, A. E., Malig, M., Hernandez-Rodriguez, J. ... Marques-Bonet, T. (2013). Great ape genetic diversity and population history. Nature, 499, 471–475. https://doi.org/10.1038/nature12228

Røikjer, T., Hobolth, A. & Munch, K. (2022). Graph-based algorithms for phase-type distributions. Statistics and Computing, 32(6), Article 103. https://doi.org/10.1007/s11222-022-10174-3

Asmussen, S. & Bladt, M. (2022). Gram–Charlier methods, regime-switching and stochastic volatility in exponential Lévy models. Quantitative Finance, 22(4), 675-689. https://doi.org/10.1080/14697688.2021.1998585

Baudoin, F. & Ouyang, C. (2013). Gradient Bounds for Solutions of Stochastic Differential Equations Driven by Fractional Brownian Motions. In Malliavin Calculus and Stochastic Analysis: A Festschrift in Honor of David Nualart (pp. 413-426). Springer. https://doi.org/10.1007/978-1-4614-5906-4_18

Baudoin, F., Gordina, M. & Mariano, P. (2020). Gradient bounds for Kolmogorov type diffusions. Annales de l'institut Henri Poincare (B) Probability and Statistics, 56(1), 612-636. https://doi.org/10.1214/19-AIHP975

Podolskij, M. & Wasmuth, K. (2013). Goodness-of-fit testing for fractional diffusions. Statistical Inference for Stochastic Processes, 16(2), 147-159. https://doi.org/10.1007/s11203-013-9082-1

Myllymäki, M., Mrkvička, T., Grabarnik, P., Seijo, H. & Hahn, U. (2017). Global Envelope Tests for Spatial Processes. Journal of the Royal Statistical Society, Series B (Statistical Methodology), 79(2), 381-404. https://doi.org/10.1111/rssb.12172

Myllymäki, M., Mrkvička, T., Grabarnik, P., Seijo, H. & Hahn, U. (2015). Global envelope tests for spatial processes. arxiv.org. http://arxiv.org/abs/1307.0239

Hahn, U. (2007). Global and Local Scaling in the Statistics of Spatial Point Processes.

Jensen, J. L. & Hein, J. (2002). Gibbs sampler for statistical multiple alignment. Department of Mathematical Sciences , University of Aarhus.

Jensen, J. L. & Hein, J. (2005). Gibbs sampler for statistical multiple alignment. Statistica Sinica, 15(4), 889-907.

Barndorff-Nielsen, O. E. & Jensen, E. B. V. (Eds.) (1999). Geometry in present day science: proceedings of the Conference, University of Aarhus, Denmark, 16-18 January 1998. World Scientific.

Feragen, A., Nielsen, M., Jensen, E. B. V., du Plessis, A. & Lauze, F. (2014). Geometry and Statistics: Manifolds and Stratified Spaces. Journal of Mathematical Imaging and Vision, 50(1-2), 1-4. https://doi.org/10.1007/s10851-014-0504-5

Gardner, R. J., Jensen, E. B. V. & Volcic, A. (2003). Geometric tomography and local stereology. Advances in Applied Mathematics, 30(3), 397-423.

Baudoin, F. (2022). Geometric Inequalities on Riemannian and Sub-Riemannian Manifolds by Heat Semigroups Techniques. In Lecture Notes in Mathematics (pp. 7-91). Springer Science+Business Media. https://doi.org/10.1007/978-3-030-84141-6_2

Kötzer, S., Jensen, E. B. V. & Baddeley, A. (2005). Geometric identities in stereological particle analysis. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.

Ozkan, R. (2026). Geometric Deep Learning: A Bibliometric Analysis of Research Evolution and Emerging Directions. IEEE Access, 14, 124642-124662. https://doi.org/10.1109/ACCESS.2026.3723132

Lorz, U. & Hahn, U. (1993). Geometric characteristics of spatial Voronoi tessellations and planar sections.

Hobolth, A., Christensen, O. F., Mailund, T. & Schierup, M. H. (2007). Genomic Relationships and Speciation Times of Human, Chimpanzee and Gorilla inferred from a Coalescent Hidden Markov Model. Poster session presented at Beyond the HapMap, Boston, United States.

Hobolth, A., Christensen, O. F., Mailund, T. & Schierup, M. H. (2007). Genomic relationships and speciation times of human, chimpanzee and gorilla inferred from a coalescent hidden Markov model. PLoS Genetics, 3(2). https://doi.org/10.1371/journal.pgen.0030007

Andersen, L. D., Ostenfeld, M. S., Bramsen, J. B., Silahtaroglu, A., Lamy, P., Ramanathan, R., Fristrup, N., Jensen, J. L., Andersen, C. L., Zieger, K., Kauppinen, S., Ulhøi, B. P., Kjems, J., Borre, M. & Ørntoft, T. F. (2009). Genomic profiling of microRNAs in bladder cancer: miR-129 is associated with poor outcome and promotes cell death in vitro. Cancer Research, 69(11), 4851-60. https://doi.org/10.1158/0008-5472.CAN-08-4043

Maia, R. P., Madsen, P., Pedersen, J. & Labouriau, R. (2013). Genetic study of mortality rate in Danish dairy cows: a multivariate competing risk analysis. In Book of Abstracts of the 64th Annual Meeting of the European Association for Animal Production (2013 ed., Vol. 19, pp. 315). Wageningen Academic Publishers. http://www.eaap.org/Previous_Annual_Meetings/2013Nantes/Nantes_2013_Abstracts.pdf

Maia, R. P., Madsen, P., Pedersen, J. & Labouriau, R. (2013). Genetic study of mortality rate in Danish dairy cows: a multivariate competing risk analysis. Poster session presented at 64th Annual Meeting of the European Federation of Anmal Science, Nantes, France. http://www.eaap.org/Previous_Annual_Meetings/2013Nantes/Nantes_2013_Abstracts.pdf

Rodriguez Algaba, J., Sørensen, C. K., Labouriau, R., Justesen, A. F. & Hovmøller, M. S. (2017). Genetic diversity within and among aecia of the wheat rust fungus Puccinia striiformis on the alternate host Berberis vulgaris. Fungal Biology, 121(6-7), 541-549. https://doi.org/10.1016/j.funbio.2017.03.003

Maia, R. P., Ask, B., Madsen, P., Pedersen, J. & Labouriau, R. (2014). Genetic determination of mortality rate in Danish dairy cows: a multivariate competing risk analysis based on the number of survived lactations. Journal of Dairy Science, 97(3), 1753-1761. https://doi.org/10.3168/jds.2013-6959

Maia, R. P., Labouriau, R., Madsen, P. & Nielsen, B. (2012). Genetic Analysis of Sow Longevity. Poster session presented at 4th International Conference on Quantitative Genetics, Edinburgh, United Kingdom.

Hou, Y., Madsen, P., Labouriau, R., Zhang, Y., Lund, M. S. & Su, G. (2009). Genetic analysis of days from calving to first insemination and days open in Danish Holsteins using different models and censoring scenarios. Journal of Dairy Science, (92), 1229-1239. https://doi.org/10.3168/jds.2008-1556

Barndorff-Nielsen, O. E., Rosinski, J. & Thorbjørnsen, S. (2008). General Υ-transformations. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.

Barndorff-Nielsen, O. E., Rosinski, J. & Thorbjørnsen, S. (2008). General Upsilon-transformations. Alea, 4, 131-165. http://alea.impa.br/articles/v4/04-07.pdf

Baudoin, F., Demni, N. & Wang, J. (2023). Generalized Stochastic Areas, Winding Numbers, and Hyperbolic Stiefel Fibrations. International Mathematics Research Notices, 2023(9), 7925-7960. https://doi.org/10.1093/imrn/rnac072

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Lars Madsen