Publications

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Hahn, U. & Jensen, E. B. V. (2016). Hidden Second-order Stationary Spatial Point Processes. Scandinavian Journal of Statistics, 43(2), 455-475. https://doi.org/10.1111/sjos.12185

Bak, B. A. & Jensen, J. L. (2016). High dimensional classifiers in the imbalanced case. Computational Statistics & Data Analysis, 98, 46-59. https://doi.org/10.1016/j.csda.2015.12.009

Nielsen, S., Simonsen, S. & Hobolth, A. (2016). Inferring Population Genetic Parameters: Particle Filtering, HMM, Ripley’s K-Function or Runs of Homozygosity? I M. Frith & C. Nørgaard Storm Pedersen (red.), WABI 2016: 16th International Workshop (Bind 9838, s. 234-245). Springer. Lecture Notes in Computer Science http://link.springer.com/chapter/10.1007/978-3-319-43681-4_19/fulltext.html

Thomsen, R., Edwards, S. A., Rousing, T., Labouriau, R. & Sørensen, J. T. (2016). Influence of social mixing and group size on skin lesions and mounting in organic entire male pigs. Animal, 1225-1233. https://doi.org/10.1017/S1751731116000069

Thompson, S., Lipsky, L. & Asmussen, S. (2016). Linear algebraic methods in RESTART problems in Markovian systems. I L. Fiondella & A. Puliafito (red.), Principles of Performance and Reliability Modeling and Evaluation: Essays in Honor of Kishor Trivedi on his 70th Birthday (Bind Part 3, s. 449-479). Springer. Springer Series in Reliability Engineering https://doi.org/10.1007/978-3-319-30599-8_17

Asmussen, S. & Thøgersen, J. (2016). Markov Dependence in Renewal Equations and Random Sums with Heavy Tails. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet. Thiele Research Reports Bind 2, 2016 http://math.au.dk/forskning/publikationer/instituttets-serier/publication/publid/1071/

Asmussen, S., Lipsky, L. & Thompson, S. (2016). Markov Renewal Methods in Restart Problems in Complex Systems. I M. Podolskij, R. Stelzer, S. Thorbjørnsen & D. A. E. Veraart (red.), The Fascination of Probability, Statistics and their Applications: In Honour of Ole E. Barndorff-Nielsen (s. 501-527). Springer. https://doi.org/10.1007/978-3-319-25826-3_23

Asmussen, S., Lipsky, L. & Thompson, S. (2016). Markov renewal methods in RESTART problems in complex systems. I M. Podolskij, R. Stelzer, S. Thorbjørnsen & A. E. D. Veraart (red.), The Fascination of Probability, Statistics, and their Applications: In Honour of Ole E. Barndorff-Nielsen (s. 501-527). Springer.

Andersen, I. T. & Hahn, U. (2016). Matérn thinned Cox processes. Spatial Statistics, 15, 1-21. https://doi.org/10.1016/j.spasta.2015.10.005

Mrkvička, T., Soubeyrand, S., Myllymäki, M., Grabarnik, P. & Hahn, U. (2016). Monte Carlo testing in spatial statistics, with applications to spatial residuals. Spatial Statistics, 18(A), 40-53. https://doi.org/10.1016/j.spasta.2016.04.005

Nielsen, M. M., Tataru, P., Madsen, T., Hobolth, A. & Pedersen, J. S. (2016). Motif discovery in ranked lists of sequences. (s. 1-4). http://biorxiv.org/content/biorxiv/suppl/2016/01/11/035956.DC2/035956-1.pdf

Labouriau, R. (2016). Multivariate Generalized Linear Mixed Models with High Complexity / Modèles linéaires généralisés mixtes multivariés avec complexité élevée. Abstract fra 44th Annual Meeting of the Statistical Society of Canada, Canada.

Jensen, J. L., Asmussen, S. & Rojas-Nandayapa, L. (2016). On the Laplace transform of the lognormal distribution. Methodology and Computing in Applied Probability, 18(2), 441-458. https://doi.org/10.1007/s11009-014-9430-7

Jensen, J. L. (2016). On the use of saddlepoint approximations in highdimensional inference. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet. Thiele Research Reports Bind 4, 2016 http://math.au.dk/forskning/publikationer/instituttets-serier/publication/publid/1082/

Basse-O'Connor, A. & Weber, M. (2016). On the Φ-variation of stochastic processes with exponential moments. Transactions of the London Mathematical Society, 3(1), 1-27. https://doi.org/10.1112/tlms/tlw001

Thøgersen, J. (2016). Optimal premium as function of the deductible: Customer analysis and portfolio characteristics. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet. Thiele Research Reports Bind 3, 2016 http://math.au.dk/forskning/publikationer/instituttets-serier/publication/publid/1080/

Asmussen, S., Goffard, P-O. & Laub, P. (2016). Orthonormal polynomial expansions and lognormal sum densities. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet. Thiele Research Reports Bind 1, 2016 http://math.au.dk/forskning/publikationer/instituttets-serier/publication/publid/1066/

Asmussen, S., Laub, P. & Goffard, P-O. (2016). Orthonormal polynomial expansions and lognormal sum densities. I P. Barrieu (red.), Risk and Stochastics. Ragnar Norberg at 70 World Scientific. http://www.worldscientific.com/worldscibooks/10.1142/q0057

Christensen, S. T. & Kiderlen, M. (2016). Poster: Comparison of two global digital algorithms for Minkowski tensor estimation. Poster session præsenteret ved AU Workshop on Stochastic Geometry, Stereology and their Applications, Sønderborg, Danmark.

Dorph-Petersen, K-A., Ziegel, J., Baddeley, A. & Jensen, E. B. V. (2016). Prediction of the variance of stereological volume estimates in systematic sampling with errors in sampling locations. Abstract fra AU Workshop on Stochastic Geometry, Stereology and their Applications, Sønderborg, Danmark.

Kousholt, A. & Kiderlen, M. (2016). Reconstruction of convex bodies from surface tensors. Advances in Applied Mathematics, 76, 1-33. https://doi.org/10.1016/j.aam.2016.01.001

Clark, C., Ely, J., Spagnolo, M., Hahn, U., Stokes, C. & Hughes, A. (2016). Regular patterns in subglacial bedforms demonstrate emergent field behaviour. Geophysical Research Abstracts, 18, 1389. [EGU2016-1389-1]. http://meetingorganizer.copernicus.org/EGU2016/EGU2016-1389-1.pdf

Jensen, E. B. V. & Kiderlen, M. (2016). Rotation Invariant Valuations. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Bind 2016/03 http://math.au.dk/publs?publid=1064

Svane, A. M. & Jensen, E. B. V. (2016). Rotational Crofton formulae for Minkowski tensors and some affine counterparts. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Bind 2016/13 http://math.au.dk/publs?publid=1085

Barndorff-Nielsen, O. E., Hedevang, E., Schmiegel, J. & Szozda, B. (2016). Some recent developments in Ambit Stochastics. I F. E. Benth & G. Di Nunno (red.), Stochastics of Environmental and Financial Economics (Bind 138, s. 3-25). Springer. Springer Proceedings in Mathematics & Statistics Bind 138 https://doi.org/10.1007/978-3-319-23425-0_1

Ivanovs, J. (2016). Sparre-Andersen identity and the last passage time. Journal of Applied Probability, 53(2), 600-605.

Asmussen, S., Ernst, P. & Hasenbein, J. (2016). Stability and tail asymptotics in a multiclass queue with state dependent arrival rates. arXiv. https://arxiv.org/abs/1609.03999

Tataru, P., Simonsen, M., Bataillon, T. & Hobolth, A. (2016). Statistical Inference in the Wright–Fisher Model Using Allele Frequency Data. Systematic Biology. https://doi.org/10.1093/sysbio/syw056

Kousholt, A., Ziegel, J., Kiderlen, M. & Jensen, E. B. V. (2016). Stereological estimation of mean particle volume tensors in R³ from vertical sections. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Nr. 09 http://csgb.dk/publications/csgbrr/2016/

Kousholt, A., Ziegel, J. F., Kiderlen, M. & Jensen, E. B. V. (2016). Stereological estimation of mean particle volume tensors in R3 from vertical sections. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Bind 2016/09 http://math.au.dk/publs?publid=1073

Rafati, A. H., Ziegel, J., Nyengaard, J. R. & Jensen, E. B. V. (2016). Stereological estimation of particle shape and orientation from volume tensors. Journal of Microscopy, 263(3), 229-237. https://doi.org/10.1111/jmi.12382

Kasenburg, N., Darkner, S., Hahn, U., Liptrot, M. & Feragen, A. (2016). Structural parcellation of the thalamus using shortest-path tractography. IEEE Xplore, 559-563. https://doi.org/10.1109/ISBI.2016.7493330

Ronn-Nielsen, A. & Jensen, E. B. V. (2016). Tail asymptotics for the supremum of an infinitely divisible field with convolution equivalent Lévy measure. Journal of Applied Probability, 53(1), 244-261. https://doi.org/10.1017/jpr.2015.22

Jensen, J. L., Mortensen, P. B. & Serritzlew, S. (2016). The Dynamic Model of Choice for Public Policy Reconsidered: A Formal Analysis with an Application to US Budget Data. Journal of Public Administration Research and Theory, 26(2), 226-238. https://doi.org/10.1093/jopart/muv007

Podolskij, M., Stelzer, R., Thorbjørnsen, S. & Veraart, A. (red.) (2016). The Fascination of Probability, Statistics and their Applications: In Honour of Ole E. Barndorff-Nielsen. Springer. https://doi.org/10.1007/978-3-319-25826-3

Labouriau, R. (2016). The Laplace transform and polynomial approximation in L2. arXiv. http://arxiv.org/pdf/1603.03473v1.pdf

Hobolth, A. & Siren, J. (2016). The multivariate Wright–Fisher process with mutation: Moment-based analysis and inference using a hierarchical Beta model. Theoretical Population Biology, 108, 36-50. https://doi.org/10.1016/j.tpb.2015.11.001

Hasebe, T. & Thorbjørnsen, S. (2016). Unimodality of the freely selfdecomposable probability laws. Journal of Theoretical Probability, 29(3), 922-940. https://doi.org/10.1007/s10959-015-0595-y

Ivanovs, J. (2016). Zooming in on a Lévy process at its supremum. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet. Thiele Research Reports Bind 5, 2016 http://math.au.dk/forskning/publikationer/instituttets-serier/publication/publid/1086/

Demétrio, C. G. B., Maia, R. P. & Labouriau, R. (2015). A competing risk model for discrete time with masked causes and gaussian random component.. Abstract fra The 8th Conference of the Eastern Mediterranean Region International Biometric Society, Tyrkiet.

Hahn, U. (2015). A note on simultaneous Monte Carlo tests. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Nr. 06 http://math.au.dk/publs?publid=1042

Podolskij, M. & Thamrongrat, N. (2015). A weak limit theorem for numerical approximation of Brownian semi-stationary processes. Institut for Økonomi, Aarhus Universitet. CREATES Research Papers Nr. 2015-53

Podolskij, M. (2015). Ambit fields: survey and new challenges. I R. H. Mena, J. C. Pardo, V. Rivero & G. U. Bravo (red.), XI Symposium of Probability and Stochastic Processes: CIMAT, Mexico, November 18-22, 2013 (s. 241-279). Springer. Progress in Probability Bind 69 https://doi.org/10.1007/978-3-319-13984-5_12

Barndorff-Nielsen, O. E. & Shiryaev, A. N. (2015). Change of time and change of measure. (2 udg.) World Scientific. Advanced Series on Statistical Science and Applied Probability Bind 21 https://doi.org/10.1142/9609

Bak, B. A., Jensen, J. L. & Fenger-Grøn, M. (2015). Classification error of the thresholded independence rule. Scandinavian Journal of Statistics, 42(1), 32-42. https://doi.org/10.1111/sjos.12093

Barndorff-Nielsen, O. E., Benth, F. E. & Veraart, A. (2015). Cross-commodity modelling by multivariate ambit fields. I R. Aïd, M. Ludkovski & R. Sircar (red.), Commodities, Energy and Environmental Finance (Bind II, s. 109-148). Springer. Fields Institute Communications Bind 74 https://doi.org/10.1007/978-1-4939-2733-3_5

Peerstrup Ahrendt, L., Labouriau, R., Malmkvist, J., Nicol, C. J. & Christensen, J. W. (2015). Development of a standard test to assess negative reinforcement learning in horses. Applied Animal Behaviour Science, 169, 38-42. https://doi.org/10.1016/j.applanim.2015.05.005

Podolskij, M., Veliyev, B. & Yoshida, N. (2015). Edgeworth expansion for the pre-averaging estimator. Institut for Økonomi, Aarhus Universitet. CREATES Research Papers Nr. 2015-60

Asmussen, S. & Kortschak, D. (2015). Error Rates and Improved Algorithms for Rare Event Simulation with Heavy Weibull Tails. Methodology and Computing in Applied Probability, 17(2), 1-21. https://doi.org/10.1007/s11009-013-9371-6

Ziegel, J. F., Nyengaard, J. R. & Vedel Jensen, E. B. (2015). Estimating Particle Shape and Orientation Using Volume Tensors. Scandinavian Journal of Statistics, 42(3), 813-831. https://doi.org/10.1111/sjos.12138

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Revideret 06.04.2021 -

Lars Madsen