Publications

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Asmussen, S., Lipsky, L. & Thompson, S. (2015). Markov renewal methods in RESTART problems in complex systems. In M. Podolskij, R. Stelzer, S. Thorbjørnsen & A. E. D. Veraart (Eds.), The Fascination of Probability, Statistics, and their Applications: In Honour of Ole E. Barndorff-Nielsen (pp. 501-527). Springer.

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 No. 01 http://math.au.dk/publs?publid=1034

Asmussen, S., Lipsky, L. & Thompson, S. (2015). Markov Renewal Methods in Restart Problems in Complex Systems. In M. Podolskij, R. Stelzer, S. Thorbjørnsen & D. A. E. Veraart (Eds.), The Fascination of Probability, Statistics and their Applications: In Honour of Ole E. Barndorff-Nielsen (pp. 501-527). Springer. https://doi.org/10.1007/978-3-319-25826-3_23

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. 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. 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

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

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

Displaying results 501 to 550 out of 1318

Revised 12.06.2025

Lars Madsen