Publications

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Jensen, E. B. V. & Kieu, K. (1992). A New Integral Geometric Formula of the Blaschke-Petkantschin Type. Mathematische Nachrichten, 156, 57-74. https://doi.org/10.1002/mana.19921560105

Jensen, E. B. V. (1991). Recent developments in the stereological analysis of particles. Annals of the Institute of Statistical Mathematics, 43(3), 455-468. https://doi.org/10.1007/BF00053366

Jensen, E. B. V. & Ziegel, J. F. (2014). Local stereology of tensors of convex bodies. Methodology and Computing in Applied Probability, 16(2), 263-282. https://doi.org/10.1007/s11009-013-9337-8

Jensen, J. L. (2013). On a saddlepoint approximation to the Markov binomial distribution. Brazilian Journal of Probability and Statistics, 27(2), 150-161. https://doi.org/10.1214/11-BJPS162

Jensen, J. L., Mortensen, P. B. & Serritzlew, S. (2016). The Dynamic Model of Choice for Public Policy Reconsidered: A Formal Analysis with an Application to US Budget Data. Journal of Public Administration Research and Theory, 26(2), 226-238. https://doi.org/10.1093/jopart/muv007

Jensen, J. L., Asmussen, S. & Rojas-Nandayapa, L. (2016). On the Laplace transform of the lognormal distribution. Methodology and Computing in Applied Probability, 18(2), 441-458. https://doi.org/10.1007/s11009-014-9430-7

Jensen, E. B. V. & Rasmusson, A. (2014). Rotational integral geometry and local stereology - with a view to image analysis. In V. Schmidt (Ed.), Stochastic Geometry, Spatial Statistics and Random Fields: Models and Algorithms (pp. 233-255). Springer Publishing Company. https://doi.org/10.1007/978-3-319-10064-7_8

Jensen, E. B. V. & Kiderlen, M. (2016). Rotation Invariant Valuations. (pp. 961-981). Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Vol. 2016/03 https://doi.org/10.1016/j.aim.2015.12.030

Jensen, J. L. (2016). On the use of saddlepoint approximations in highdimensional inference. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet. Thiele Research Reports Vol. 4, 2016 http://math.au.dk/forskning/publikationer/instituttets-serier/publication/publid/1082/

Jensen, E. B. V. & Gundersen, H. J. G. (2017). THE WORKSHOPS ON STOCHASTIC GEOMETRY, STEREOLOGY AND IMAGE ANALYSIS. Image Analysis and Stereology, 36(3), 179-185. https://doi.org/10.5566/ias.1755

Jensen, J. L. & Andreassen, C. M. (2018). On the three-dimensional negative binomial distribution. Communications in Statistics: Theory and Methods, 47(10), 2314-2326. https://doi.org/10.1080/03610926.2013.864766

Jensen, J. L., Mortensen, P. B. & Serritzlew, S. (2019). A Comparative Distributional Method for Public Administration Illustrated Using Public Budget Data. Journal of Public Administration Research and Theory, 29(3), 460-473. https://doi.org/10.1093/jopart/muy056

Jensen, J. L. (2021). On the Use of Saddlepoint Approximations in High Dimensional Inference. Sankhya A, 83(1), 379-392. https://doi.org/10.1007/s13171-019-00188-x

Jensen, L. G., Williamson, D. & Hahn, U. (2022). Semiparametric point process modeling of blinking artifacts in PALM. The Annals of Applied Statistics, 16(3), 1500-1523. https://doi.org/10.1214/21-AOAS1553

Jensen, E. B. V. (2021). Stereological inference on mean particle shape from vertical sections. Australian & New Zealand Journal of Statistics, 63(1), 6-18. https://doi.org/10.1111/anzs.12309

Jensen, J. L. (1993). Saddlepoint approximations, Edgeworth expansions and normal approximations - from independence to dependence. Aarhus University.

Jensen, E. B. V. & Kiderlen, M. (2025). Rotational Integral Geometry and its Applications. Springer.

Jakobsen, M., Hermansen, J. E., Andersen, H. M.-L., Jørgensen, U., Labouriau, R., Kongsted, A. G. & Rasmussen, J. (2019). Elimination behavior and soil mineral nitrogen load in an organic system with lactating sows – comparing pasture-based systems with and without access to poplar (Populus sp.) trees. Agroecology and Sustainable Food Systems, 43(6), 639-661. https://doi.org/10.1080/21683565.2018.1541039

Jain, S., de Freitas, B. N., Basse-OConnor, A., Iosifidis, A. & Pauwels, R. (2025). PanoDiff-SR: Synthesizing Dental Panoramic Radiographs using Diffusion and Super-resolution.

Jacod, J., Li, Y., Mykland, P. A., Podolskij, M. & Vetter, M. (2009). Microstructure noise in the continuous case: The pre-averaging approach. Stochastic Processes and Their Applications, 119(7), 2249-2276. https://doi.org/10.1016/j.spa.2008.11.004

Jacod, J. & Podolskij, M. (2013). A test for the rank of the volatility process: The random perturbation approach. Annals of Statistics, 41(5), 2391-2427. https://doi.org/10.1214/13-AOS1153

Jacod, J., Podolskij, M. & Vetter, M. (2010). Limit Theorems for moving averages of discretized processes plus noise. Annals of Statistics, 38(3), 1478-1545. https://doi.org/10.1214/09-AOS756

Jacod, J. & Podolskij, M. (2018). On the minimal number of driving Lévy motions in a multivariate price model. Journal of Applied Probability, 55(3), 823-833. https://doi.org/10.1017/jpr.2018.52

Iversen, B. B., Jensen, J. L. & Danielsen, J. (1997). Errors in Maximum-Entropy Charge-Density Distributions Obtained from Diffraction Data. Acta Crystallographica Section A: Foundations and Advances, 53(3), 376-387. https://doi.org/10.1107/S0108767397000792

Ivanovs, J. & Podolskij, M. (2022). Optimal estimation of the supremum and occupation times of a self-similar Lévy process. Electronic Journal of Statistics, 16(1), 892-934. https://doi.org/10.1214/21-EJS1928

Hvilsom, C., Qian, Y., Bataillon, T., Li, Y., Mailund, T., Sallé, B., Carlsen, F., Li, R., Zheng, H., Jiang, T., Jiang, H., Jin, X., Munch, K., Hobolth, A., Siegismund, H. R., Wang, J. & Schierup, M. H. (2012). Extensive X-linked adaptive evolution in central chimpanzees. Proceedings of the National Academy of Sciences (PNAS). https://doi.org/10.1073/pnas.1106877109

Huschto, T., Podolskij, M. & Sager, S. (2019). The asymptotic error of chaos expansion approximations for stochastic differential equations. Modern Stochastics: Theory and Applications, 6(2), 145-165. https://doi.org/10.15559/19-VMSTA133

Hug, D., Kiderlen, M. & Svane, A. M. (2015). Voronoi-based estimation of Minkowski tensors from ﬁnite point samples. arxiv.org. CSGB Research Reports Vol. 2016/06 http://math.au.dk/publs?publid=1069

Hug, D., Kiderlen, M. & Svane, A. M. (2017). Voronoi-Based Estimation of Minkowski Tensors from Finite Point Samples. Discrete & Computational Geometry, 57(3), 545-570. https://doi.org/10.1007/s00454-016-9851-x

H. Rafati, A., Ziegel, J., Nyengaard, J. R. & Jensen, E. B. V. (2015). Stereological Estimation of Particle Shape and Orientation From Volume Tensors. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports No. 12 http://math.au.dk/publs?publid=1050

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

Hornshøj, H., Nielsen, M. M., Sinnott-Armstrong, N. A., Świtnicki, M. P., Juul, M., Madsen, T., Sallari, R., Kellis, M., Ørntoft, T., Hobolth, A. & Pedersen, J. S. (2018). Pan-cancer screen for mutations in non-coding elements with conservation and cancer specificity reveals correlations with expression and survival. npj Genomic Medicine, 3(1), 1. Article 40. https://doi.org/10.1038/s41525-017-0040-5

Holst, M. R., Jensen, L. G., Aaron, J., Login, F. H., Rajkumar, S., Hahn, U. & Nejsum, L. N. (2021). Regulated exocytosis: Renal Aquaporin-2 3D Vesicular Network Organization and Association with F-actin. American Journal of Physiology: Cell Physiology, 321(6), 1060-1069. https://doi.org/10.1152/ajpcell.00255.2021

Holmstrup, M., Lamandé, M., Torp, S. B., Labouriau, R., Greve, M. H. & Heckrath, G. (2011). Associations between soil texture, soil water characteristics and earthworm populations of grassland. Acta Agriculturae Scandinavica, Section B - Soil & Plant Science, 61, 583-592. https://doi.org/10.1080/09064710.2010.526629

Holmstrup, M., Sørensen, J. G., Overgaard, J., Bayley, M., Bindesbøl, A.-M. H., Slotsbo, S., Fisker, K. V., Maraldo, K., Waagner, D., Labouriau, R. & Asmund, G. (2011). Body metal concentrations and glycogen reserves in earthworms (Dendrobaena octaedra) from contaminated and uncontaminated forest soil. Environmental Pollution, 159(1), 190-197. https://doi.org/10.1016/j.envpol.2010.09.005

Hobolth, A. & Jensen, E. B. V. (2002). A note on design-based versus model-based variance estimation in stereology. Advances in Applied Probability, 34, 484-490. https://doi.org/10.1239/aap/1033662161

Hobolth, A. & Jensen, E. B. V. (2002). Stereological analysis of shape. Image Analysis and Stereology, 21(4), S23-S29. https://doi.org/10.5566/ias.v21.pS23-S29

Hobolth, A., Pedersen, J. & Jensen, E. B. V. (2002). A Deformable Template Model, with Special Reference to Elliptical Templates. Journal of Mathematical Imaging and Vision, 17(2), 131-137. https://doi.org/10.1023/A:1020681419750

Hobolth, A., Pedersen, J. & Jensen, E. B. V. (2003). A continuous parametric shape model. Annals of the Institute of Statistical Mathematics, 55(2), 227-242. https://doi.org/10.1007/BF02530496

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

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

Hobolth, A. (2008). A Markov chain Monte Carlo Expectation Maximization Algorithm for Statistical Analysis of DNA Sequence Evolution with Neighbor-Dependent Substitution Rates. Journal of Computational and Graphical Statistics, 17(1), 138-162.

Hobolth, A. & Wiuf, C. H. (2009). The genealogy, site frequency spectrum and ages of two nested mutant alleles. Theoretical Population Biology, 75(4), 260-265. https://doi.org/10.1016/j.tpb.2009.02.001

Hobolth, A. & Stone, E. (2009). Simulation from endpoint-conditioned, continuous-time Markov chains on a finite state space, with applications to molecular evolution. Annals of Applied Statistics, 3(3), 1204-1231. https://doi.org/10.1214/09-AOAS247

Hobolth, A., Dutheil, J., Hawks, J., Schierup, M. H. & Mailund, T. (2011). Incomplete lineage sorting patterns among human, chimpanzee and orangutan suggest recent orangutan speciation and widespread selection. Genome Research, 21(3), 349-356. https://doi.org/10.1101/gr.114751.110

Hobolth, A. & Jensen, J. L. (2010). Summary statistics for end-point conditioned continuous-time Markov chains. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.

Hobolth, A., Andersen, L. N. & Mailund, T. (2011). On computing the coalescence time density in an isolation-with-migration model with few samples. Genetics, 187, 1242-1243. https://doi.org/10.1534/genetics.110.124164

Hobolth, A. & Jensen, J. L. (2011). Summary statistics for endpoint-conditioned continuous-time Markov chains. Journal of Applied Probability, 48(4), 911-924. https://doi.org/10.1239/jap/1324046009

Hobolth, A. (2012). Ancestral population genomics. In M. Anisimova (Ed.), Evolutionary Genomics: Statistical and Computational Methods (Vol. 856, pp. 293-313). Springer.

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Revised 06.01.2026

Lars Madsen