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Institut for Matematik

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Hobolth, A. & Siren, J. (2016). The multivariate Wright–Fisher process with mutation: Moment-based analysis and inference using a hierarchical Beta model. Theoretical Population Biology, 108, 36-50. https://doi.org/10.1016/j.tpb.2015.11.001

Hasebe, T. & Thorbjørnsen, S. (2016). Unimodality of the freely selfdecomposable probability laws. Journal of Theoretical Probability, 29(3), 922-940. https://doi.org/10.1007/s10959-015-0595-y

Ivanovs, J. (2016). Zooming in on a Lévy process at its supremum. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet. Thiele Research Reports Bind 5, 2016 http://math.au.dk/forskning/publikationer/instituttets-serier/publication/publid/1086/

Demétrio, C. G. B., Maia, R. P. & Labouriau, R. (2015). A competing risk model for discrete time with masked causes and gaussian random component.. Abstract fra The 8th Conference of the Eastern Mediterranean Region International Biometric Society, Tyrkiet.

Podolskij, M. (2015). Ambit fields: survey and new challenges. I R. H. Mena, J. C. Pardo, V. Rivero & G. U. Bravo (red.), XI Symposium of Probability and Stochastic Processes: CIMAT, Mexico, November 18-22, 2013 (s. 241-279). Springer. https://doi.org/10.1007/978-3-319-13984-5_12

Hahn, U. (2015). A note on simultaneous Monte Carlo tests. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Nr. 06 http://math.au.dk/publs?publid=1042

Podolskij, M. & Thamrongrat, N. (2015). A weak limit theorem for numerical approximation of Brownian semi-stationary processes. Institut for Økonomi, Aarhus Universitet. CREATES Research Paper Nr. 2015-53

Bak, B. A., Jensen, J. L. & Fenger-Grøn, M. (2015). Classification error of the thresholded independence rule. Scandinavian Journal of Statistics, 42(1), 32-42. https://doi.org/10.1111/sjos.12093

Peerstrup Ahrendt, L., Labouriau, R., Malmkvist, J., Nicol, C. J. & Christensen, J. W. (2015). Development of a standard test to assess negative reinforcement learning in horses. Applied Animal Behaviour Science, 169, 38-42. https://doi.org/10.1016/j.applanim.2015.05.005

Podolskij, M., Veliyev, B. & Yoshida, N. (2015). Edgeworth expansion for the pre-averaging estimator. Institut for Økonomi, Aarhus Universitet. CREATES Research Paper Nr. 2015-60

Asmussen, S. & Kortschak, D. (2015). Error Rates and Improved Algorithms for Rare Event Simulation with Heavy Weibull Tails. Methodology and Computing in Applied Probability, 17(2), 1-21. https://doi.org/10.1007/s11009-013-9371-6

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

Nam, K., Munch, K., Hobolth, A., Dutheil, J. Y., Veeramah, K. R., Woerner, A. E., Hammer, M. F., Mailund, T., Schierup, M. H. & Great Ape Genome Diversity Project (2015). Extreme selective sweeps independently targeted the X chromosomes of the great apes. Proceedings of the National Academy of Sciences, 112(20). https://doi.org/10.1073/pnas.1419306112

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

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

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

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

Bataillon, T., Duan, J., Hvilsom, C., Jin, X., Li, Y., Skov, L., Glemin, S., Munch, K., Jiang, T., Qian, Y., Hobolth, A., Wang, J., Mailund, T., Siegismund, H. R. & Schierup, M. H. (2015). Inference of purifying and positive selection in three subspecies of chimpanzees (Pan troglodytes) from exome sequencing. Genome Biology and Evolution, 7(4), 1122-32. https://doi.org/10.1093/gbe/evv058

Tataru, P., Bataillon, T. & Hobolth, A. (2015). Inference Under a Wright-Fisher Model Using an Accurate Beta Approximation. Genetics, 201(3), 1133-1141.

Andersen, L. N., Asmussen, S., Aurzada, F., Glynn, P. W., Maejima, M., Pihlsgard, M. & Simon, T. (2015). Lévy Matters V: Functionals of Levy Processes. Springer. Lecture Notes in Mathematics Bind 2149 https://doi.org/10.1007/978-3-319-23138-9

Andersen, L. N., Asmussen, S., Glynn, P. W. & Pihlsgård, M. (2015). Lévy processes with two-sided reflection. I Lévy Matters V (s. 67-182). Springer Lecture Notes in Mathematics. https://doi.org/10.1007/978-3-319-23138-9_2

Asmussen, S., Lipsky, L. & Thompson, S. (2015). Markov Renewal Methods in Restart Problems in Complex Systems. T.N. Thiele Centre, Department of Mathematics, Aarhus University. Thiele Research Reports Nr. 01 http://math.au.dk/publs?publid=1034

Andersen, I. T. & Hahn, U. (2015). Matérn thinned Cox processes. Centre for Stochastic Geometry and Advanced Bioimaging, Aarhus University. CSGB Research Reports Nr. 08

Mrkvička, T., Myllymäki, M. & Hahn, U. (2015). Multiple Monte Carlo Testing with Applications in Spatial Point Processes. arxiv.org. http://arxiv.org/abs/1506.01646

Basse-O'Connor, A. & Rosiński, J. (2015). On infinitely divisible semimartingales. Probability Theory and Related Fields, 164(1-2), 133-163. https://doi.org/10.1007/s00440-014-0609-1

Pedersen, J. & Sauri, O. (2015). On Lévy semistationary processes with a gamma kernel. I R. H. Mena, J. C. Pardo, V. Rivero & G. U. Bravo (red.), XI Symposium of Probability and Stochastic Processes: CIMAT, Mexico, November 18-22, 2013 (s. 217-239). Springer. https://doi.org/10.1007/978-3-319-13984-5_11

Gärtner, K. & Podolskij, M. (2015). On non-standard limits of Brownian semi-stationary processes. Stochastic Processes and Their Applications, 125(2), 653-677. https://doi.org/10.1016/j.spa.2014.09.019

Podolskij, M., Schmidt, C. & Vetter, M. (2015). On U- and V-statistics for discontinuous Itô semimartingale. Institut for Økonomi, Aarhus Universitet. CREATES Research Paper Nr. 2015-52

Gardner, R. J. & Kiderlen, M. (2015). Operations Between Functions. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Nr. 11 http://math.au.dk/publs?publid=1049

Andersen, I. T., Hahn, U. & Jensen, E. B. V. (2015). Optimal PPS Sampling with Vanishing Auxiliary Variables – with Applications in Microscopy. Scandinavian Journal of Statistics, 42(4), 1136–1148. https://doi.org/10.1111/sjos.12156

Kousholt, A. & Kiderlen, M. (2015). Reconstruction of convex bodies from surface tensors. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Nr. 10 http://math.au.dk/publs?publid=1046

Kousholt, A. & Kiderlen, M. (2015). Reconstruction of convex bodies from surface tensors. Poster session præsenteret på GPSRS Conference, Bad Herrenalb, Tyskland.

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 Nr. 12 http://math.au.dk/publs?publid=1050

Kousholt, A., Kiderlen, M. & Hug, D. (2015). Surface tensor estimation from linear sections. Mathematische Nachrichten, 288(14-15), 1647-1672. https://doi.org/10.1002/mana.201400147

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

Joergensen, M. W., Labouriau, R., Hindkjaer, J., Stougaard, M., Kolevraa, S., Bolund, L., Agerholm, I. E. & Sunde, L. (2015). The parental origin correlates with the karyotype of human embryos developing from tripronuclear zygotes. Clinical and Experimental Reproductive Medicine, 42(1), 14-21. https://doi.org/10.5653/cerm.2015.42.1.14

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

Asmussen, S., Ivanovs, J. & Rønn-Nielsen, A. (2015). Time inhomogeneity in longest gap and longest run problems. T.N. Thiele Centre, Department of Mathematics, Aarhus University. Thiele Research Reports Nr. 07 http://math.au.dk/publs?publid=1054

Maia, R. P., Labouriau, R. & Demétrio, C. G. B. (2015). Variance component estimation on Competing risk analysis with masked causes and gaussian random components: A simulation study.. Abstract fra 60th ISI World Statistics Congress, Rio de Janeiro, Brasilien.

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

Labouriau, R. (2014). A Note on the Identifiability of Generalized Linear Mixed Models. arXiv, Artikel 1405.0673 [stat.AP]. http://arxiv.org/abs/1405.0673

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

Corcuera, J. M., Nualart, D. & Podolskij, M. (2014). Asymptotics of weighted random sums. Communications in Applied and Industrial Mathematics, 6(1), Artikel e-486. https://doi.org/10.1685/journal.caim.486

Asmussen, S., Lipsky, L. & Thompson, S. (2014). Checkpointing in failure recovery in computing and data transmission. I B. Sericola, M. Telek & G. Horváth (red.), Analytical and Stochastic Modeling Techniques and Applications (s. 253-272). Springer. https://doi.org/10.1007/978-3-319-08219-6_18

Madsen, P., Jensen, J., Labouriau, R., Christensen, O. F. & Sahana, G. (2014). DMU - A Package for Analyzing Multivariate Mixed Models in quantitative Genetics and Genomics. Poster session præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014#/activity/5tSDu1wL58

Madsen, P., Jensen, J., Labouriau, R., Christensen, O. F. & Sahana, G. (2014). DMU - A Package for Analyzing Multivariate Mixed Models in quantitative Genetics and Genomics. Afhandling præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014#/activity/5tSDu1wL58

Greilich, S., Hahn, U., Kiderlen, M., Andersen, C. E. & Bassler, N. (2014). Efficient calculation of local dose distributions for response modeling in proton and heavier ion beams. The European Physical Journal D: Atomic, Molecular, Optical and Plasma Physics, 68(217), Artikel 327. https://doi.org/10.1140/epjd/e2014-40825-0

Andersen, L. N., Mailund, T. & Hobolth, A. (2014). Efficient computation in the IM model. Journal of Mathematical Biology, 68(6), 1423-1451. https://doi.org/10.1007/s00285-013-0671-9

Johansen, S. G. & Thorstenson, A. (2014). Emergency orders in the periodic-review inventory system with fixed ordering costs and compound Poisson demand. International Journal of Production Economics, 157, 147-157. https://doi.org/10.1016/j.ijpe.2014.07.013

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

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Revideret 06.09.2024

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Lars Madsen