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Andersen, I. T. & Hahn, U. (2015). Matérn thinned Cox processes. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports No. 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. In R. H. Mena, J. C. Pardo, V. Rivero & G. U. Bravo (Eds.), XI Symposium of Probability and Stochastic Processes: CIMAT, Mexico, November 18-22, 2013 (pp. 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

Baudoin, F. & Ouyang, C. (2015). On small time asymptotics for rough differential equations driven by fractional brownian motions. In P. K. Friz, J. Gatheral, A. Gulisashvili, J. Teichmann, P. K. Friz & A. Jacquier (Eds.), Large Deviations and Asymptotic Methods in Finance (pp. 413-438). Springer. https://doi.org/10.1007/978-3-319-11605-1_14

Podolskij, M., Schmidt, C. & Vetter, M. (2015). On U- and V-statistics for discontinuous Itô semimartingale. Institut for Økonomi, Aarhus Universitet. CREATES Research Paper No. 2015-52

Gardner, R. J. & Kiderlen, M. (2015). Operations Between Functions. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports No. 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

Neuhaeuser, D., Hirsch, C., Gloaguen, C. & Schmidt, V. (2015). Parametric Modeling of Sparse Random Trees Using 3D Copulas. Stochastic Models, 31(2), 226-260.

Kousholt, A. & Kiderlen, M. (2015). Reconstruction of convex bodies from surface tensors. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports No. 10 http://math.au.dk/publs?publid=1046

Kousholt, A. & Kiderlen, M. (2015). Reconstruction of convex bodies from surface tensors. Poster session presented at GPSRS Conference, Bad Herrenalb, Germany.

Strauch, C. (2015). Sharp adaptive drift estimation for ergodic diffusions: The multivariate case. Stochastic Process. Appl., 125(7), 2562-2602.

Hirsch, C., Delaney, G. & Schmidt, V. (2015). Stationary Apollonian Packings. Journal of Statistical Physics, 161(1), 35-72.

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

Baudoin, F. (2015). Stochastic Differential Equations Driven by Loops. In Progress in Probability (pp. 59-80). Birkhauser. https://doi.org/10.1007/978-3-319-13984-5_3

Chen, L. (2015). Sub-Gaussian heat kernel estimates and quasi Riesz transforms for 1 ≤ p ≤ 2. Publicacions Matematiques, 59(2), 313-338. https://doi.org/10.5565/PUBLMAT_59215_03

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. BMC 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. Article 1. http://intl.genetics.org/content/200/1/343.full

Baudoin, F. & Cecil, M. (2015). The subelliptic heat kernel on the three-dimensional solvable Lie groups. Forum Mathematicum, 27(4), 2051-2086. https://doi.org/10.1515/forum-2013-0020

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 No. 07 http://math.au.dk/publs?publid=1054

Baudoin, F., Ouyang, C. & Zhang, X. (2015). Varadhan estimates for rough differential equations driven by fractional Brownian motions. Stochastic Processes and Their Applications, 125(2), 634-652. https://doi.org/10.1016/j.spa.2014.09.012

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 from 60th ISI World Statistics Congress, Rio de Janeiro, Brazil.

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

Brereton, T., Hirsch, C., Schmidt, V. & Kroese, D. (2014). A critical exponent for shortest-path scaling in continuum percolation. Journal of Physics A: Mathematical and Theoretical, 47(50), 505003.

Stenzel, O., Hirsch, C., Brereton, T., Baumeier, B., Andrienko, D., Kroese, D. & Schmidt, V. (2014). A general framework for consistent estimation of charge transport properties via random walks in random environments. Multiscale modeling simulation, 12(3), 1108-1134.

Labouriau, R. (2014). A Note on the Identifiability of Generalized Linear Mixed Models. ArXiv. 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 No. 10 http://math.au.dk/publs?publid=1008

Baudoin, F., Bonnefont, M. & Garofalo, N. (2014). A sub-Riemannian curvature-dimension inequality, volume doubling property and the Poincaré inequality. Mathematische Annalen, 358(3-4), 833-860. https://doi.org/10.1007/s00208-013-0961-y

Corcuera, J. M., Nualart, D. & Podolskij, M. (2014). Asymptotics of weighted random sums. Communications in Applied and Industrial Mathematics, 6(1), Article 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. In B. Sericola, M. Telek & G. Horváth (Eds.), Analytical and Stochastic Modeling Techniques and Applications (pp. 253-272). Springer. https://doi.org/10.1007/978-3-319-08219-6_18

Baudoin, F. & Wang, J. (2014). Curvature Dimension Inequalities and Subelliptic Heat Kernel Gradient Bounds on Contact Manifolds. Potential Analysis, 40(2), 163-193. https://doi.org/10.1007/s11118-013-9345-x

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 presented at 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. Paper presented at 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), Article 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

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

Asmussen, S., Jensen, J. L. & Rojas-Nandayapa, L. (2014). Exponential Family Techniques for the Lognormal Left Tail. T.N. Thiele Centre, Department of Mathematics, Aarhus University. Thiele Research Reports No. 01 http://math.au.dk/publs?publid=1010

Christensen, K., Oomen, R. & Podolskij, M. (2014). Fact or friction: Jumps at ultra high frequency. Journal of Financial Economics, 114(3), 576-599. https://doi.org/10.1016/j.jfineco.2014.07.007

Maia, R. P., Ask, B., Madsen, P., Pedersen, J. & Labouriau, R. (2014). Genetic determination of mortality rate in Danish dairy cows: a multivariate competing risk analysis based on the number of survived lactations. Journal of Dairy Science, 97(3), 1753-1761. https://doi.org/10.3168/jds.2013-6959

Feragen, A., Nielsen, M., Jensen, E. B. V., du Plessis, A. & Lauze, F. (2014). Geometry and Statistics: Manifolds and Stratified Spaces. Journal of Mathematical Imaging and Vision, 50(1-2), 1-4. https://doi.org/10.1007/s10851-014-0504-5

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, Article 5803. https://doi.org/10.1038/ncomms6803

Asmussen, S. (2014). Lévy processes, phase-type distributions, and martingales. Stochastic Models, 30(4), 443-468. https://doi.org/10.1080/15326349.2014.958424

Podolskij, M., Schmidt, C. & Ziegel, J. (2014). Limit theorems for nondegenerate U-statistics of continuous semimartingales. Annals of Applied Probability, 24(6), 2491-2526. https://doi.org/10.1214/13-AAP983

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

Hobolth, A. & Jensen, J. L. (2014). Markovian approximation to the finite loci coalescent with recombination along multiple sequences. Theoretical Population Biology, 98, 48-58. https://doi.org/10.1016/j.tpb.2014.01.002

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

Pimentel Maia, R., Madsen, P. & Labouriau, R. (2014). Multivariate Survival Mixed Models for Genetic Analysis of Longevity Traits. Journal of Applied Statistics, 41(6), 1286-1306. https://doi.org/10.1080/02664763.2013.868416

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Lars Madsen