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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 No. 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 No. 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 No. 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 No. 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 Vol. 2014 No. 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 No. 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 No. 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 No. 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. In Book of Abstracts of the 64th Annual Meeting of the European Association for Animal Production (2013 ed., Vol. 19, pp. 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.. Computer programme, 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. In Book of Abstracts of the 64th Annual Meeting of the European Association for Animal Production (2013 ed., Vol. 19, pp. 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 presented at 64th Annual Meeting of the European Federation of Anmal Science, Nantes, France. 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

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 Vol. 2013 No. 07 http://math.au.dk/publs?publid=985

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

Kiderlen, M. (2013). Introduction into integral geometry and stereology. In E. Spodarev (Ed.), Stochastic geometry, spatial statistics and random fields: Asymptotic methods (pp. 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. In A. N. Shiryaev, S. R. S. Varadhan & E. L. Presman (Eds.), Prokhorov and contemporary probability theory: In Honor of Yuri V. Prokhorov (pp. 69-96). Springer. https://doi.org/10.1007/978-3-642-33549-5_4

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 No. 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 No. 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].

Christensen, K., Podolskij, M. & Vetter, M. (2013). On covariation estimation for multivariate continuous Itô semimartingales with noise in non-synchronous observation schemes. Journal of Multivariate Analysis, 120, 59-84. https://doi.org/10.1016/j.jmva.2013.05.002

Basse-O'Connor, A. & Rosiński, J. (2013). On Lévy’s Equivalence Theorem in Skorohod space. In C. Houdré, D. M. Mason, J. Rosi´nski & J. A. Wellner (Eds.), High dimensional probability VI: The Banff volume (pp. 219-225). Birkhäuser Verlag. https://doi.org/10.1007/978-3-0348-0490-5_14

Dvorak, J. & Jensen, E. B. V. (2013). On semiautomatic estimation of surface area. Journal of Microscopy, 250(2), 142-157. https://doi.org/10.1111/jmi.12030

Andreassen, C. M. & Jensen, J. L. (2013). On the 3-dimensional negative binomial distribution.

Asmussen, S., Jensen, J. L. & Rojas-Nandayapa, L. (2013). On the Laplace transform of the Lognormal distribution. T.N. Thiele Centre, Department of Mathematics, Aarhus University. Thiele Research Reports No. 06 http://math.au.dk/publs?publid=994

Basse-O'Connor, A. & Rosinski, J. (2013). On the uniform convergence of random series in Skorohod space and representations of càdlàg infinitely divisible processes. Annals of Probability, 41(6), 4317-4341. https://doi.org/10.1214/12-AOP783

Hahn, U. (2013). plutils: an R package for plotting with style. Computer programme, R-Forge. https://r-forge.r-project.org/R/?group_id=1763

Asmussen, S., Christensen, B. J. & Taksar, M. (2013). Portfolio size as function of the premium: modelling and optimization. Stochastics: An International Journal of Probability and Stochastic Processes , 85(4 (Taksar Memorial Issue)), 575-588. https://doi.org/10.1080/17442508.2013.797426

Asmussen, S., Christensen, B. J. & Taksar, M. I. (2013). Portfolio size as funktion of the premium: modeling and optimization. T.N. Thiele Centre, Department of Mathematics, Aarhus University. Thiele Research Reports No. 01 http://math.au.dk/publs?publid=971

Elkjær, K., Labouriau, R., Ancker, M.-L., Gustafsson, H. & Callesen, H. (2013). Practical use of a uterine score system for predicting effects on interval from calving to first insemination and non-return rate 56 in Danish dairy herds. Veterinary Journal, 198(3), 644-648. https://doi.org/10.1016/j.tvjl.2013.09.022

Hautsch, N. & Podolskij, M. (2013). Preaveraging-Based Estimation of Quadratic Variation in the Presence of Noise and Jumps: Theory, Implementation, and Empirical Evidence. Journal of Business and Economic Statistics, 31(2), 165-183. https://doi.org/10.1080/07350015.2012.754313

Hautsch, N. & Podolskij, M. (2013). Pre-averaging based estimation of quadratic variation in the presence of noise and jumps: theory, implementation, and empirical evidence. Journal of Business and Economic Statistics, 31(2), 165-183.

Auneau-Cognacq, J., Ziegel, J. & Jensen, E. B. V. (2013). Rotational integral geometry of tensor valuations. Advances in Applied Mathematics, 50(3), 429-444. https://doi.org/10.1016/j.aam.2012.10.006

Kortschak, D. & Asmussen, S. (2013). Second order corrections for the limits of normalized ruin times in the presence of heavy tails. Stochastic Systems, 3(2), 591-633. https://doi.org/10.1214/11-SSY054

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Lars Madsen