Institut for Matematik

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Zieger, K., Andersen, L. D., Wiuf, C., Jensen, J. L., Andersen, C. L., Jensen, K. M.-E. & Ørntoft, T. F. (2005). Role of activating fibroblast growth factor receptor 3 mutations in the development of bladder tumors. Clinical Cancer Research, 11(21), 7709-7719.
Ziegel, J. & Kiderlen, M. (2010). Estimation of surface area and surface area measure of three-dimensional sets from digitizations. Image and Vision Computing, 28(1), 64-77. https://doi.org/10.1016/j.imavis.2009.04.013
Ziegel, J., Baddeley, A., Dorph-Petersen, K.-A. & Jensen, E. B. V. (2010). Systematic sampling with errors in sample locations. Biometrika, 97(1), 1-13. https://doi.org/10.1093/biomet/asp067
Ziegel, J. & Kiderlen, M. (2010). Stereological estimation of surface area from digital images. Image Analysis and Stereology, 29, 99-110. http://www.wise-t.com/ias/article.php?id=265&year=2010&issue=6
Ziegel, J., Jensen, E. B. V. & Dorph-Petersen, K.-A. (2011). Variance estimation for generalized Cavalieri estimators. Biometrika, 98(1), 187-198. https://doi.org/10.1093/biomet/asq064
Ziegel, J., Nyengaard, J. R. & Jensen, E. B. V. (2014). Applied tensor stereology. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Nr. 10 http://math.au.dk/publs?publid=1008
Ziegel, J. F., Nyengaard, J. R. & Vedel Jensen, E. B. (2015). Estimating Particle Shape and Orientation Using Volume Tensors. Scandinavian Journal of Statistics, 42(3), 813-831. https://doi.org/10.1111/sjos.12138
Zeng, K., Charlesworth, B. & Hobolth, A. (2021). Studying models of balancing selection using phase-type theory. Genetics, 218(2), Artikel iyab055. https://doi.org/10.1093/genetics/iyab055
Wulfsohn, D., Gundersen, H. J. G., Jensen, E. B. V. & Nyengaard, J. R. (2004). Volume estimation from projections. Journal of Microscopy, 215, 111-120.
Wilton, P. R., Carmi, S. & Hobolth, A. (2015). The SMC' is a highly accurate approximation to the ancestral recombination graph. Genetics (Print), 200(1), 343-355. Artikel 1. http://intl.genetics.org/content/200/1/343.full
West, M. J., Bach, G., Søderman, A. & Jensen, J. L. (2009). Synaptic contact number and size in stratum radiatum CA1 of APP/PS1DeltaE9 transgenic mice. Neurobiology of Aging, 30(11), 1756-76. https://doi.org/10.1016/j.neurobiolaging.2008.01.009
Waltoft, B. L., Pedersen, C. B., Nyegaard, M. & Hobolth, A. (2015). The importance of distinguishing between the odds ratio and the incidence rate ratio in GWAS. BMC Medical Genetics, 16(1), 71. https://doi.org/10.1186/s12881-015-0210-1
Waltoft, B. L. & Hobolth, A. (2018). Non-parametric estimation of population size changes from the site frequency spectrum. Statistical Applications in Genetics and Molecular Biology, 17(3), Artikel 20170061. https://doi.org/10.1515/sagmb-2017-0061
Wahlström, E. M., Kristensen, H. L., Thomsen, I. K., Labouriau, R., Pulido-Moncada, M., Nielsen, J. A. & Munkholm, L. J. (2021). Subsoil compaction effect on spatio-temporal root growth, reuse of biopores and crop yield of spring barley. European Journal of Agronomy, 123, Artikel 126225. https://doi.org/10.1016/j.eja.2020.126225
Vogeler, I., Hansen, E. M., Nielsen, S., Labouriau, R., Cichota, R., Olesen, J. E. & Thomsen, I. K. (2020). Nitrate leaching from suction cup data: Influence of method of drainage calculation and concentration interpolation. Journal of Environmental Quality, 49(2), 440-449. https://doi.org/10.1002/jeq2.20020
Vlachos, C., Burny, C., Pelizzola, M., Borges, R., Futschik, A., Kofler, R. & Schlötterer, C. (2019). Benchmarking software tools for detecting and quantifying selection in evolve and resequencing studies. Genome Biology, 20(1), Artikel 169. https://doi.org/10.1186/s13059-019-1770-8
Twiller, J. W., Andersen, K. & Sivertsen, A. (2024). An efficient integer programming model for solving the master planning problem of container vessel stowage. I A. Garrido, C. D. Paternina-Arboleda & S. Voß (red.), Computational Logistics - 15th International Conference, ICCL 2024, Proceedings (Bind 15168, s. 236-253). Springer. https://doi.org/10.1007/978-3-031-71993-6_16
Turkensteen, M. & Klose, A. (2012). Demand dispersion and logistics costs in one-to-many distribution systems. European Journal of Operational Research, 223(2), 499-507. https://doi.org/10.1016/j.ejor.2012.06.008
Trottner, L., Aeckerle-Willems, C. & Strauch, C. (2023). Concentration analysis of multivariate elliptic diffusions. Journal of Machine Learning Research, 24(106), 1-38. Artikel 106. https://www.jmlr.org/papers/volume24/22-0666/22-0666.pdf
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
Thuesen, L., Jørgensen, J. R., Kvistgaard, H. J., Sørensen, J. A., Vaeth, M., Jensen, E. B., Jensen, J. J. & Hagerup, L. (1983). Effect of verapamil on enzyme release after early intravenous administration in acute myocardial infarction: Double blind randomised trial. British Medical Journal, 286(6371), 1107-1108.
Thórisdóttir, Ó. & Kiderlen, M. (2012). Wicksell's Problem in Local Stereology. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Nr. 05
Thórisdóttir, Ó. & Kiderlen, M. (2013). Wicksell's Problem in Local Stereology. Advances in Applied Probability, 45(4), 925-944. https://doi.org/10.1239/aap/1386857851
Thórisdóttir, Ó., H.Rafati, A. & Kiderlen, M. (2013). Estimating the surface area of non-convex particles from central planar sections. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Nr. 08 http://math.au.dk/publs?publid=987
Thórisdóttir, Ó. & Kiderlen, M. (2013). The invariator principle in convex geometry. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Nr. 06 http://math.au.dk/publs?publid=982
Thórisdóttir, Ó. & Kiderlen, M. (2014). The Invariator Principle in Convex Geometry. Advances in Applied Mathematics, 58, 63-87. https://doi.org/10.1016/j.aam.2014.02.003
Thórisdóttir, Ó., H.Rafati, A. & Kiderlen, M. (2014). Estimating the surface area of nonconvex particles from central planar sections. Journal of Microscopy, 255(1), 49–64. https://doi.org/10.1111/jmi.12136
Thorbjørnsen, S., Haagerup, U. & Schultz, H. (2006). A random matrix approach to the lack of projections in C*_red(F_2). Advances in Mathematics, (204), 1-83.
Thorbjørnsen, S., Hasebe, T. & Sakuma, N. (2017). The normal distribution is freely selfdecomposable. International Mathematics Research Notices, 1-22.
Thorarinsdottir, T. L. & Jensen, E. B. V. (2006). Modelling resting state networks in the human brain. I R. Lechnerová, I. Saxl & V. Benes (red.), Proceedings S4G, International Conference on Stereology, Spatial Statistics and Stochastic Geometry (s. 137-147). Union Czech Mathematicians and Physicists.
Thomsen, R., Edwards, S. A., Rousing, T., Labouriau, R. & Sørensen, J. T. (2016). Influence of social mixing and group size on skin lesions and mounting in organic entire male pigs. Animal, 10(7), 1225-1233. https://doi.org/10.1017/S1751731116000069
Thompson, S., Lipsky, L. & Asmussen, S. (2016). Linear algebraic methods in RESTART problems in Markovian systems. I L. Fiondella & A. Puliafito (red.), Principles of Performance and Reliability Modeling and Evaluation: Essays in Honor of Kishor Trivedi on his 70th Birthday (Bind Part 3, s. 449-479). Springer. https://doi.org/10.1007/978-3-319-30599-8_17
Thøgersen, J. (2016). Optimal premium as function of the deductible: Customer analysis and portfolio characteristics. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet. Thiele Research Reports Bind 3, 2016 http://math.au.dk/forskning/publikationer/instituttets-serier/publication/publid/1080/
Thøgersen, J. (2019). Decision and evaluation in non-life insurance mathematics. Aarhus Universitet.
Thirstrup, J. P., Labouriau, R., Guldbrandtsen, B., Anistoroaei, R. M., Christensen, K., Fredholm, M. & Nielsen, V. H. (2011). Ny jagt på pelsgener. I P. Berg (red.), Temadag om aktuel minkforskning (s. 75-80). Aarhus Universitet, Forskningscenter Foulum.
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. I NJF-Seminar no. 450, Fur Animal Research, Autumn Meeting
Thirstrup, J. P., Guldbrandtsen, B., Labouriau, R., Anistoroae, R. M., Christensen, K., Fredholm, M. & Nielsen, V. H. (2012). Evidence for similar location of QTL for guard hair length and thickness in mink  (Neovison vison). Poster-session præsenteret på 33rd International Society of Animal Genetics, Cairns, Australien.
Thirstrup, J. P., Guldbrandtsen, B., Labouriau, R., Anistoroaei, R. M., Kristensen, K., Fredholm, M. & Nielsen, V. H. (2012). Evidence for similar location of QTL for guard hair length and thicknes in mink (Neovison vison). I Programme and Abstract Book (s. 115-116).
Theil, P. K., Nielsen, T. T., Kristensen, N. B., Labouriau, R., Danielsen, V., Lauridsen, C. & Jakobsen, K. (2002). Estimation of milk production in lactating sows by determination of deuterated water turnover in three piglets per litter. Acta Agriculturae Scandinavica, Section A - Animal Science, 52, 221-232.
Theil, P. K., Labouriau, R., Sejrsen, K., Thomsen, B. & Sørensen, M. T. (2005). Expression of genes involved in regulation of cell turnover during milk stasis and lactation rescue in sow mammary glands. Journal of Animal Science, 83, 2349-2356. http://jas.fass.org/cgi/content/abstract/83/10/2349?maxtoshow=&HITS=10&hits=10&RESULTFORMAT=&searchid=1&FIRSTINDEX=0&sortspec=relevance&volume=83&firstpage=2349&resourcetype=HWCIT
Theil, P. K., Sørensen, M. T., Labouriau, R., Thomsen, B. & Sejrsen, K. (2005). Gene expression in suckled and non-suckled mammary glands in early lactating sows. Livestock Science, 98(1-2), 190-191. https://doi.org/10.1016/j.livprodsci.2005.10.001
Theil, P. K., Sejrsen, K., Hurley, W. L., Labouriau, R., Thomsen, B. & Sørensen, M. T. (2006). Role of suckling in regulating cell turnover and onset and maintenance of lactation in individual mammary glands of sows. Journal of Animal Science, 84, 1691-1698. https://doi.org/10.2527/jas.2005-518
Theil, P. K., Kristensen, N. B., Jørgensen, H., Labouriau, R. & Jakobsen, K. (2007). Milk intake and carbon dioxide production of piglets determined with the doubly labelled water technique. Animal, 1, 881-888. https://doi.org/10.1017/S1751731107000031
Theil, P. K., Flummer, C., Hurley, W. L., Kristensen, N. B., Labouriau, R. & Sørensen, M. T. (2014). Mechanistic model to predict colostrum intake based on deuterium oxide dilution technique data and impact of gestation and prefarrowing diets on piglet intake and sow yield of colostrum. Journal of Animal Science, 92(12), 5507-5519. https://doi.org/10.2527/jas.2014-7841
Tataru, P. C. & Hobolth, A. (2011). Comparison of methods for calculating conditional expectations of sufficient statistics for continuous time Markov chains. BMC Bioinformatics, 12(1), 465. https://doi.org/10.1186/1471-2105-12-465
Tataru, P., Sand, A., Hobolth, A., Mailund, T. & Pedersen, C. N. S. (2013). Algorithms for Hidden Markov Models Restricted to Occurrences of Regular Expressions. Biology, 2(4), 1282-1295. https://doi.org/10.3390/biology2041282
Tataru, P., Bataillon, T. & Hobolth, A. (2015). Inference Under a Wright-Fisher Model Using an Accurate Beta Approximation. Genetics, 201(3), 1133-1141.
Tataru, P., Simonsen, M., Bataillon, T. & Hobolth, A. (2017). Statistical Inference in the Wright–Fisher Model Using Allele Frequency Data. Systematic Biology, 66(1), e30-e46. https://doi.org/10.1093/sysbio/syw056
Tandrup, T., Gundersen, H. J. G. & Jensen, E. B. V. (1997). The optical rotator. Journal of Microscopy, 186(2), 108-120. https://doi.org/10.1046/j.1365-2818.1997.2070765.x
Taghizadeh-Toosi, A., Elsgaard, L., Clough, T. J., Labouriau, R., Ernstsen, V. & Petersen, S. O. (2019). Regulation of N2O emissions from acid organic soil drained for agriculture. Biogeosciences, 16(23), 4555-4575. https://doi.org/10.5194/bg-16-4555-2019

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Revideret 06.01.2026
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Lars Madsen