Institut for Matematik

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Gomez, A. I., Kiderlen, M. & Pausinger, F. (2022). Improved entropy bounds for parity filtered self-timed ring based random number generators. Information Processing Letters, 174, Artikel 106212. https://doi.org/10.1016/j.ipl.2021.106212
Baudoin, F. & Munteanu, O. (2021). Improved Beckner–Sobolev Inequalities on Kähler Manifolds. Journal of Geometric Analysis, 31(1), 100-125. https://doi.org/10.1007/s12220-019-00252-w
Asmussen, S. & Kroese, D. P. (2004). Improved Algorithms for Rare Event Simulation with Heavy Tails. MaPhySto, Aarhus Universitet.
Asmussen, S. & Kroese, D. P. (2006). Improved algorithms for rare event simulation with heavy tails. Advances in Applied Probability, 38(2), 545-558.
Hobolth, A., Uyenoyama, M. K. & Wiuf, C. (2008). Importance sampling for the infinite sites model. Statistical Applications in Genetics and Molecular Biology, 7(1). https://doi.org/10.2202/1544-6115.1400
Asmussen, S. (2008). Importance Sampling for Failure Probabilities in Computing and Data Transmission. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.
Asmussen, S. (2009). Importance sampling for failure probabilities in computing and data transmission. Journal of Applied Probability, 46(3), 768-790. https://doi.org/10.1239/jap/1253279851
Dorph-Petersen, K.-A., Ziegel, J., Baddeley, A. & Jensen, E. B. V. (2011). Imperfect systematic sampling. Assessing the effect of non-constant intersectional distance on the precision of the Cavalieri estimator. Abstract fra The 13th International Congress for Stereology, Beijing, Kina.
Niemann, T., Labouriau, R., Sorensen, H. T., Thorsgaard, N. & Nielsen, T. T. (2003). Impact on prognosis of regional different referral for coronary angiography after exercise testing: A population-based follow-up study. I Proc. XIX Nordic Congress of Cardiology (s. 40)
Ansarifar, S., Andreikė, G., Nazari, M., Labouriau, R., Nabavi, S. & Moreno, A. (2023). Impact of volume and expression time in an AAV-delivered channelrhodopsin. Molecular Brain, 16(1), Artikel 77. https://doi.org/10.1186/s13041-023-01067-1
Hansen, L. V., Kiderlen, M. & Jensen, E. B. V. (2011). Image-Based Empirical Importance Sampling: An Efficient Way of Estimating Intensities. Scandinavian Journal of Statistics, 38(3), 393-408. https://doi.org/10.1111/j.1467-9469.2010.00725.x
Andersen, L. D., Andersen, T. T., Kruhøffer, M., Jensen, J. L., Marcussen, N., Dutoit, S. J. H., Wolf, H. & Ørntoft, T. F. (2003). Identifying distinct classes of bladder carcinoma using microarrays. Nature Genetics, 33, 90-96. https://doi.org/10.1038/ng1061
Bernvil, S. S., Jensen, E. B. & Vaeth, M. (1985). Identification of carriers of haemophilia A. Ugeskrift for Læger, 147(13), 1105-1108.
Baudoin, F. & Teichmann, J. (2005). Hypoellipticity in infinite dimensions and an application in interest rate theory. Annals of Applied Probability, 15(3), 1765-1777. https://doi.org/10.1214/105051605000000214
Baudoin, F. & Tardif, C. (2018). Hypocoercive estimates on foliations and velocity spherical Brownian motion. Kinetic and Related Models, 11(1), 1-23. https://doi.org/10.3934/KRM.2018001
Penner, R., Andersen, E. S., Jensen, J. L., Kantcheva, A. K., Bublitz, M., Nissen, P., Rasmussen, A. M. H., Svane, K. L., Hammer, B., Rezazadegan, R., Nielsen, N. C., Nielsen, J. T. & Andersen, J. E. (2014). Hydrogen bond rotations as a uniform structural tool for analyzing protein architecture. Nature Communications, 5, Artikel 5803. https://doi.org/10.1038/ncomms6803
Labouriau, R. & Amorim, A. (2008). Human Fertility Increases with the Marital-radius. Genetics, 178, 601-603. https://doi.org/10.1534/genetics.107.072454
Baudoin, F., Grong, E., Rizzi, L. & Vega-Molino, G. (2022). H-type foliations. Differential Geometry and its Application, 85, Artikel 101952. https://doi.org/10.1016/j.difgeo.2022.101952
Baudoin, F. & Vega-Molino, S. (2025). Holonomy of H-type foliations. I F. Baudoin & L. Rizzi (red.), New Trends in Sub-Riemannian Geometry - AMS-EMS-SMF Special Session Sub-Riemannian Geometry and Interactions, 2022 (s. 49-58). American Mathematical Society. https://doi.org/10.1090/conm/809/16200
Ton Nu, M. A., Blaabjerg, K., Labouriau, R. & Poulsen, H. D. (2015). High moisture airtight storage of barley and triticale: Effect of moisture level and grain processing on nitrogen and phosphorus solubility. Animal Feed Science and Technology, 210, 125-137. https://doi.org/10.1016/j.anifeedsci.2015.09.017
Duembgen, M. & Podolskij, M. (2015). High-frequency asymptotics for path-dependent functionals of Ito semimartingales. Stochastic Processes and Their Applications, 125(4), 1195-1217. https://doi.org/10.1016/j.spa.2014.08.007
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 Nr. 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), article 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), Artikel 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 fra XVIII International Plant Nutrition Colloquium, Copenhagen, Danmark.
Jørgensen, B., Labouriau, R., Lundbye-Christensen, S. & Institut for Elektroniske Systemer, Aalborg Universitetscenter (1991). Growth curve analysis based on exponential dispersion models. 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. Artikel 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), Artikel 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. I Malliavin Calculus and Stochastic Analysis: A Festschrift in Honor of David Nualart (s. 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.

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Lars Madsen