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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 No. 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), Article 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. Article 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. B M C 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), Article 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, Article 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

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. 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

Tiepner, A. & Ziebell, E. (2024). Parameter estimation in hyperbolic linear SPDEs from multiple measurements.

Tiepner, A. & Trottner, L. (2024). Multivariate change estimation for a stochastic heat equation from local measurements.

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 No. 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 No. 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 No. 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. In R. Lechnerová, I. Saxl & V. Benes (Eds.), Proceedings S⁴G, International Conference on Stereology, Spatial Statistics and Stochastic Geometry (pp. 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. In L. Fiondella & A. Puliafito (Eds.), Principles of Performance and Reliability Modeling and Evaluation: Essays in Honor of Kishor Trivedi on his 70th Birthday (Vol. Part 3, pp. 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 Vol. 3, 2016 http://math.au.dk/forskning/publikationer/instituttets-serier/publication/publid/1080/

Thøgersen, J. (2019). Decision and evaluation in non-life insurance mathematics. Århus Universitet.

Thirstrup, J. P., Labouriau, R., Guldbrandtsen, B., Anistoroaei, R. M., Christensen, K., Fredholm, M. & Nielsen, V. H. (2011). Ny jagt på pelsgener. In P. Berg (Ed.), Temadag om aktuel minkforskning (pp. 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. In 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 presented at 33rd International Society of Animal Genetics, Cairns, Australia.

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). In Programme and Abstract Book (pp. 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. B M C 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. (2016). 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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Lars Madsen