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Institut for Matematik

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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.

Baudoin, F. & Kim, B. (2014). Sobolev, Poincaré, and isoperimetric inequalities for subelliptic diffusion operators satisfying a generalized curvature dimension inequality. Revista Matematica Iberoamericana, 30(1), 109-131. https://doi.org/10.4171/rmi/771

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

Baudoin, F. & Wang, J. (2014). The Subelliptic Heat Kernels of the Quaternionic Hopf Fibration. Potential Analysis, 41(3), 959-982. https://doi.org/10.1007/s11118-014-9403-z

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

Baudoin, F., Ouyang, C. & Tindel, S. (2014). Upper bounds for the density of solutions to stochastic differential equations driven by fractional Brownian motions. Annales de l'institut Henri Poincare (B) Probability and Statistics, 50(1), 111-135. https://doi.org/10.1214/12-AIHP522

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

Baudoin, F., Bonnefont, M., Garofalo, N. & Munive, I. H. (2014). Volume and distance comparison theorems for sub-Riemannian manifolds. Journal of Functional Analysis, 267(7), 2005-2027. https://doi.org/10.1016/j.jfa.2014.07.030

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

Baudoin, F. & Garofalo, N. (2013). A note on the boundedness of riesz transform for some subelliptic operators. International Mathematics Research Notices, 2013(2), 398-421. https://doi.org/10.1093/imrn/rnr271

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

Maia, R. P., Madsen, P., Pedersen, J. & Labouriau, R. (2013). Genetic study of mortality rate in Danish dairy cows: a multivariate competing risk analysis. Poster session præsenteret på 64th Annual Meeting of the European Federation of Anmal Science, Nantes, Frankrig. http://www.eaap.org/Previous_Annual_Meetings/2013Nantes/Nantes_2013_Abstracts.pdf

Podolskij, M. & Wasmuth, K. (2013). Goodness-of-fit testing for fractional diffusions. Statistical Inference for Stochastic Processes, 16(2), 147-159. https://doi.org/10.1007/s11203-013-9082-1

Baudoin, F. & Ouyang, C. (2013). Gradient Bounds for Solutions of Stochastic Differential Equations Driven by Fractional Brownian Motions. I Malliavin Calculus and Stochastic Analysis: A Festschrift in Honor of David Nualart (s. 413-426). Springer. https://doi.org/10.1007/978-1-4614-5906-4_18

Prado-Martinez, J., Sudmant, P. H., Kidd, J. M., Li, H., Kelley, J. L., Lorente-Galdos, B., Veeramah, K. R., Woerner, A. E., O'Connor, T. D., Santpere, G., Cagan, A., Theunert, C., Casals, F., Laayouni, H., Munch, K., Hobolth, A., Halager, A. E., Malig, M., Hernandez-Rodriguez, J. ... Marques-Bonet, T. (2013). Great ape genetic diversity and population history. Nature, 499, 471–475. https://doi.org/10.1038/nature12228

Keller, K. K., Andersen, I. T., Andersen, J. B., Hahn, U., Stengaard-Pedersen, K., Hauge, E. M. & Nyengaard, J. R. (2013). Improving efficiency in stereology: a study applying the proportionator and the autodisector on virtual slides. Journal of Microscopy, 251(1), 68-76. https://doi.org/10.1111/jmi.12044

Hahn, U. & Jensen, E. B. V. (2013). Inhomogeneous spatial point processes with hidden second-order stationarity. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Bind 2013 Nr. 07 http://math.au.dk/publs?publid=985

Andersen, K. & Jensen, A. N. (2013). Intersection cuts for mixed integer conic quadratic sets. I M. Goemans & J. Correa (red.), 16th International IPCO Conference, Proceedings (s. 37-48). Springer. https://doi.org/10.1007/978-3-642-36694-9_4

Kiderlen, M. (2013). Introduction into integral geometry and stereology. I E. Spodarev (red.), Stochastic geometry, spatial statistics and random fields: Asymptotic methods (s. 21-48). Springer. https://doi.org/10.1007/978-3-642-33305-7_2

Kiderlen, M. & Kampf, J. (2013). Large Parallel Volumes of Finite and Compact Sets in d-Dimensional Euclidean Space. Documenta Mathematica, 18, 275-295. http://www.math.uni-bielefeld.de/documenta/vol-18/09.html

Elkjær, K., Labouriau, R., Ancker, M.-L., Gustafsson, H. & Callesen, H. (2013). Large-scale study on effects of metritis on reproduction in Danish Holstein cows. Journal of Dairy Science, 96(1), 372-377. https://doi.org/10.3168/jds.2012-5584

Jónsdóttir, K. Ý. & Jensen, E. B. V. (2013). Lévy-based error prediction in circular systematic sampling. Image Analysis and Stereology, 32(2), 117-125. https://doi.org/10.5566/ias.v32.p117-125

Jónsdóttir, K. Ý., Rønn-Nielsen, A., Mouridsen, K. & Jensen, E. B. V. (2013). Lévy-based modelling in brain imaging. Scandinavian Journal of Statistics, 40(3), 511-529. https://doi.org/10.1002/sjos.12000

Barndorff-Nielsen, O. E., Pérez-Abreu, V. & Thorbjørnsen, S. (2013). Levy Mixing. Alea, X(2), 1013-1062. http://alea.impa.br/articles/v10/10-41.pdf

Barndorff-Nielsen, O. E., Corcuera, J. M. & Podolskij, M. (2013). Limit theorems for functionals of higher order differences of Brownian semi-stationary processes. I A. N. Shiryaev, S. R. S. Varadhan & E. L. Presman (red.), Prokhorov and contemporary probability theory: In Honor of Yuri V. Prokhorov (s. 69-96). Springer. https://doi.org/10.1007/978-3-642-33549-5_4

Bañuelos, R. & Baudoin, F. (2013). Martingale Transforms and Their Projection Operators on Manifolds. Potential Analysis, 38(4), 1071-1089. https://doi.org/10.1007/s11118-012-9307-8

Kiderlen, M. & Hörig, M. (2013). Matérn's hard core models of types I and II with arbitrary compact grains. Centre for Stochastic Geometry and Advanced Bioimaging, Aarhus University. CSGB Research Reports Nr. 05 http://math.au.dk/publs?publid=980

Asmussen, S. (2013). Modeling and performance of Bonus-Malus Systems: Stationarity versus age-correction. T.N. Thiele Centre, Department of Mathematics, Aarhus University. Thiele Research Reports Nr. 05 http://math.au.dk/publs?publid=989

Johansen, S. G. (2013). Modified base-stock policies for continuous-review, lost-sales inventory models with Poisson demand and a fixed lead time. International Journal of Production Economics, 143(2), 379-384. https://doi.org/10.1016/j.ijpe.2012.02.021

Pimentel Maia, R., Madsen, P. & Labouriau, R. (2013). Multivariate Survival Mixed Models for Genetic Analysis of Longevity Traits. arXiv, 1-36. http://arxiv.org/abs/1303.0810

Jensen, J. L. (2013). On a saddlepoint approximation to the Markov binomial distribution. Brazilian Journal of Probability and Statistics, 27(2), 150-161. https://doi.org/10.1214/11-BJPS162

Andreassen, C. M. & Jensen, J. L. (2013). On asymptotics results for a Poisson mixture model [working paper].

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Revideret 07.02.2025

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Lars Madsen