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Institut for Matematik

Publications

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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

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 Nr. 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, Artikel 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, maj 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 Nr. 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. I V. Schmidt (red.), Stochastic Geometry, Spatial Statistics and Random Fields: Models and Algorithms (s. 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. I M.-H. Chen, L. Kuo & P. O. Lewis (red.), Bayesian Phylogenetics: Methods, Algorithms, and Applications (1 udg., Bind 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.

Kousholt, A., Kiderlen, M. & Hug, D. (2014). Surface tensor estimation from linear sections. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Nr. 07 http://math.au.dk/publs?publid=1004

Rønn-Nielsen, A. & Jensen, E. B. V. (2014). Tail asymptotics for the supremum of an infinitely divisible field with convolution equivalent Lévy measure. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Nr. 09 http://math.au.dk/publs?publid=1006

Fissler, T. & Podolskij, M. (2014). Testing the maximal rank of the volatility process for continuous diffusions observed with noise. Institut for Økonomi, Aarhus Universitet. CREATES Research Paper Nr. 2014-52

Thórisdóttir, Ó. & Kiderlen, M. (2014). The Invariator Principle in Convex Geometry. Advances in Applied Mathematics, 58, 63-87. https://doi.org/10.1016/j.aam.2014.02.003

Prokesová, M., Dvorák, J. & Jensen, E. B. V. (2014). Two-step estimation procedures for inhomogeneous shot-noise Cox processes. Centre for Stochastic Geometry and Advanced Bioimaging, Aarhus University. CSGB Research Reports Nr. 02 http://math.au.dk/publs?publid=997

Andersen, I. T., Hahn, U. & Jensen, E. B. V. (2014). Vanishing auxiliary variables in PPS sampling - with applications in microscopy. Centre for Stochastic Geometry and Advanced Bioimaging, Aarhus University. CSGB Research Reports Bind 2014 Nr. 01 http://data.imf.au.dk/publications/csgb/2014/math-csgb-2014-01.pdf

Tataru, P., Sand, A., Hobolth, A., Mailund, T. & Pedersen, C. N. S. (2013). Algorithms for Hidden Markov Models Restricted to Occurrences of Regular Expressions. Biology, 2(4), 1282-1295. https://doi.org/10.3390/biology2041282

Prokesová, M. & Jensen, E. B. V. (2013). Asymptotic Palm likelihood theory for stationary point processes. Annals of the Institute of Statistical Mathematics, 65(2), 387-412. https://doi.org/10.1007/s10463-012-0376-7

Corcuera, J. M., Hedevang, E., Pakkanen, M. S. & Podolskij, M. (2013). Asymptotic theory for Brownian semi-stationary processes with application to turbulence. Stochastic Processes and Their Applications, 123(7), 2552-2574. https://doi.org/10.1016/j.spa.2013.03.011

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

Basse-O'Connor, A. & Rosiński, J. (2013). Characterization of the finite variation property for a class of stationary increment infinitely divisible processes. Stochastic Processes and Their Applications, 123(6), 1871-1890. https://doi.org/10.1016/j.spa.2013.01.014

Podolskij, M. & Yoshida, N. (2013). Edgeworth expansion for functionals of continuous diffusion processes. Institut for Økonomi, Aarhus Universitet. CREATES Research Paper Nr. 2013-33

Asmussen, S. & Kortschak, D. (2013). Error rates and improved algorithms for rare event simulation with heavy Weibull tails. T.N. Thiele Centre, Department of Mathematics, Aarhus University. Thiele Research Reports Nr. 02

Thórisdóttir, Ó., H.Rafati, A. & Kiderlen, M. (2013). Estimating the surface area of non-convex particles from central planar sections. Centre for Stochastic Geometry and Advanced Bioimaging, Aarhus University. CSGB Research Reports Nr. 08 http://math.au.dk/publs?publid=987

Sevón-Aimonen, M.-L., Labouriau, R., Maia, R. P., Haltia, S. & Uimari, P. (2013). Estimation of variance components of sow longevity traits using discrete time model. I Book of Abstracts of the 64th Annual Meeting of the European Association for Animal Production (2013 udg., Bind 19, s. 390). Wageningen Academic Publishers. http://www.eaap.org/Previous_Annual_Meetings/2013Nantes/Nantes_2013_Abstracts.pdf

Hahn, U. (2013). fdnonpar: an R package for statistical analysis of multivariate or functional data.. Softwareprogram, R-Forge. https://r-forge.r-project.org/R/?group_id=1763

Maia, R. P., Madsen, P., Pedersen, J. & Labouriau, R. (2013). Genetic study of mortality rate in Danish dairy cows: a multivariate competing risk analysis. I Book of Abstracts of the 64th Annual Meeting of the European Association for Animal Production (2013 udg., Bind 19, s. 315). Wageningen Academic Publishers. http://www.eaap.org/Previous_Annual_Meetings/2013Nantes/Nantes_2013_Abstracts.pdf

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Revideret 02.12.2024

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Lars Madsen