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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

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

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.

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

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

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

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

Labouriau, R. (2014). A Note on the Identifiability of Generalized Linear Mixed Models. arXiv, Article 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 No. 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), 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

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

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

Asmussen, S. & Foss, S. (2014). On exceedance times for some processes with dependent increments. Journal of Applied Probability, 51(1), 136-151. https://doi.org/10.1239/jap/1395771419

Bak, B. A. & Jensen, J. L. (2014, May 23). On oracle efficiency of the ROAD classification rule. http://arxiv.org/abs/1405.5989

Heinrich, C. & Podolskij, M. (2014). On spectral distribution of high dimensional covariation matrices. Institut for Økonomi, Aarhus Universitet. CREATES Research Paper No. 2014-54

Barndorff-Nielsen, O. E., Benth, F. E., Pedersen, J. & Veraart, A. E. D. (2014). On stochastic integration for volatility modulated Lévy-driven Volterra processes. Stochastic Processes and Their Applications, 124(1), 812-847. https://doi.org/10.1016/j.spa.2013.09.007

Haagerup, U. & Thorbjørnsen, S. (2014). On the free Gamma distributions. Indiana University Mathematics Journal, 63(4), 1159-1194. https://doi.org/10.1512/iumj.2014.63.5288

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

Hobolth, A. & Jeff, T. (2014). Sampling and summary statistics of endpoint-conditioned paths in DNA sequence evolution. In M.-H. Chen, L. Kuo & P. O. Lewis (Eds.), Bayesian Phylogenetics: Methods, Algorithms, and Applications (1 ed., Vol. 1). CRC Press.

Basse-O'Connor, A., Graversen, S.-E. & Pedersen, J. (2014). Stochastic integration on the real line. Theory of Probability and Its Applications, 58(2), 193-213. https://doi.org/10.1137/S0040585X97986540

Nam, K., Munch, K., Hobolth, A., Y. Dutheil, J., Veeramah, K., Woerner, A., F. Hammer, M., Ape Genome Diversity Project, G., Mailund, T. & H. Schierup, M. (2014). Strong selective sweeps associated with ampliconic regions in great ape X chromosomes. arXiv.

Displaying results 401 to 450 out of 1160

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Revised 02.12.2024

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Lars Madsen