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Department of Mathematics

Publications

Labouriau, R. (2020, Mar 24). The R-package postHoc.

Dalgaard, T. (Other), Vitved, L. (Other), Skjoedt, K. (Other), Thomsen, B. (Other), Labouriau, R. (Other), Jensen, K. H. (Other) & Juul-Madsen, H. R. (Other). (2004). Molecular characterization of MHC class I (B-F) mRNA variants from chickens differing in resistance to Marek's disease: Gene bank accession no. AY821520. Dataset

Hahn, U. (Producer). (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

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

Hahn, U. (Producer). (2013). sostatpp: an R-package for analysis of hidden second-order stationary point processes. Computer programme, R-Forge. https://r-forge.r-project.org/R/?group_id=1763

Gadegaard, S. L., Klose, A. & Nielsen, L. R. (2017, Mar 7). A solver for the single source capacitated facility location problem. GitHub. https://github.com/SuneGadegaard/SSCFLPsolver

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

Bertl, J., Guo, Q., Rasmussen, M. J., Besenbacher, S., Nielsen, M. M., Hornshøj, H., Pedersen, J. S. & Hobolth, A. (2017). A Site Specific Model And Analysis Of The Neutral Somatic Mutation Rate In Whole-Genome Cancer Data. https://doi.org/10.1101/122879

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

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

Pelck, J. S., Maia, R. P., Pinheiro, H. P. & Labouriau, R. (2021). A Multivariate Methodology for Analysing Students' Performance Using Register Data. ArXiv.

Barndorff-Nielsen, O. E., Blæsild, P. & Schmiegel, J. (2004). A Parsimonious and Universal Description of Turbulent Velocity Increments. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.

Podolskij, M. & Ziggel, D. (2007). A Range-Based Test for the Parametric Form of the Volatility in Diffusion Models. Institut for Økonomi, Aarhus Universitet. ftp://ftp.econ.au.dk/creates/rp/07/rp07_26.pdf

Podolskij, M. & Ziggel, D. (2008). A Range-Based Test for the Parametric Form of the Volatility in Diffusion Models. Institut for Økonomi, Aarhus Universitet. ftp://ftp.econ.au.dk/creates/rp/08/rp08_22.pdf

Hansen, J. V., Jensen, J. L. & Højsgaard, S. (2008). A State Space Model Exhibiting a Cyclic Structure with an Application to Progesterone Concentration in Cow Milk. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.

Hahn, U. (2010). A Studentized Permutation Test for the Comparison of Spatial Point Patterns. Institut for Matematiske Fag, Aarhus Universitet.

Klose, A. (2008). A note on Fenchel cuts for the single-node flow problem. (pp. 1-14). Department of Mathematical Sciences, Aarhus University. http://www.imf.au.dk/publs?id=676

Hahn, U. (2015). A note on simultaneous Monte Carlo tests. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports No. 06 http://math.au.dk/publs?publid=1042

Jensen, J. L. (1981). A note on the fiducial inference for the Fisher distribution on a sphere. Department of Theoretical Statistics, University of Aarhus. Research Report Vol. 71

Görtz, S. & Klose, A. (2009). A subgradient-based branch-and-bound algorithm for the capacitated facility location problem. Department of Mathematical Sciences, Aarhus University. http://www.imf.au.dk/publs?id=702

Podolskij, M. & Thamrongrat, N. (2015). A weak limit theorem for numerical approximation of Brownian semi-stationary processes. Institut for Økonomi, Aarhus Universitet. CREATES Research Paper No. 2015-53

Kinnebrock, S. & Podolskij, M. (2008). An Econometric Analysis of Modulated Realised Covariance, Regression and Correlation in Noisy Diffusion Models. Institut for Økonomi, Aarhus Universitet. ftp://ftp.econ.au.dk/creates/rp/08/rp08_23.pdf

Cordeiro, G. M., Labouriau, R. & Botter, D. A. (2019). An introduction to Bent Jørgensen's ideas. (pp. 1-26). arXiv:1909.09155. http://arxiv.org/abs/1909.09155

Klose, A. (2006). Analysis of Some Greedy Algorithms for the Single-Sink Fixed-Charge Transportation Problem. http://www.imf.au.dk/publs?id=633

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

Asmussen, S., Fiorini, P., Lipsky, L., Rolski, T. & Sheahan, R. (2007). Asymptotic behavior of total times For jobs that must start over if a failure occurs. Department of Mathematical Sciences , University of Aarhus.

Hansen, J. V. & Jensen, J. L. (2008). Asymptotics for Estimating Equations in Hidden Markov Models. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.

Barndorff-Nielsen, O. E. & Thorbjørnsen, S. (2004). Bicontinuity of the Upsilon Transformations. MaPhySto, Aarhus Universitet.

Rønn-Nielsen, A. & Jensen, E. B. V. (2018). Central limit theorem for mean and variogram estimators in Lévy-based models. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Vol. 2018/06 https://data.math.au.dk/publications/csgb/2018/math-csgb-2018-06.pdf

Bak, B. A., Fenger-Grøn, M. & Jensen, J. L. (2012). Classification error of the thresholded independence rule. T.N. Thiele Centre, Department of Mathematics, Aarhus University. Thiele Research Reports No. 05

Christensen, S. T. & Kiderlen, M. (2016). Comparison of two global digital algorithms for Minkowski tensor estimation. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Vol. 2016/10 http://math.au.dk/publs?publid=1074

Labouriau, R. (2020). Construction and Extension of Dispersion Models. arXiv. https://arxiv.org/abs/2008.05448

Jensen, J. L. (2005). Context dependent DNA evolutionary models. Institut for Matematiske Fag, Aarhus Universitet. Research Report Vol. 458

Kiderlen, M. & Rataj, J. (2011). Dilation volumes of sets of bounded perimeter. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University.

Kiderlen, M. & Rataj, J. (2017). Dilation volumes of sets of finite perimeter. http://csgb.dk/publications/csgbrr/2017/

Asmussen, S. & Lehtomaa, J. V. (2016). Distinguishing log-concavity from heavy tails. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet. Thiele Research Reports Vol. 6, 2016 http://math.au.dk/forskning/publikationer/instituttets-serier/publication/publid/1090/

Andersen, I. T., Hahn, U., Christensen, E. A., Nejsum, L. N. & Jensen, E. B. V. (2017). Double Cox cluster processes - with applications to photoactivated localization microscopy. http://csgb.dk/publications/csgbrr/2017/

Podolskij, M., Veliyev, B. & Yoshida, N. (2018). Edgeworth expansion for Euler approximation of continuous diffusion processes. Institut for Økonomi, Aarhus Universitet. CREATES Research Paper No. 2018-28

Podolskij, M. & Yoshida, N. (2013). Edgeworth expansion for functionals of continuous diffusion processes. Institut for Økonomi, Aarhus Universitet. CREATES Research Paper No. 2013-33

Podolskij, M., Veliyev, B. & Yoshida, N. (2015). Edgeworth expansion for the pre-averaging estimator. Institut for Økonomi, Aarhus Universitet. CREATES Research Paper No. 2015-60

Rojas-Nandayapa, L. & Asmussen, S. (2007). Efficient simulation of finite horizon problems in queueing and insurance risk. Department of Mathematical Sciences , University of Aarhus.

Asmussen, S., Blanchet, J., Juneja, S. & Rojas-Nandayapa, L. (2008). Efficient simulation of tail probabilities of sums of correlated lognormals. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.

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

Jensen, J. L., Raarup, M. K. & Rubak, E. (2012). Estimating protein-protein interaction affinity in single living cells using Förster resonance energy transfer measurements. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports No. 12

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

Rønn-Nielsen, A., Sporring, J. & Jensen, E. B. V. (2016). Estimation of sample spacing in stochastic processes. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Vol. 17, 2016 http://math.au.dk/forskning/publikationer/instituttets-serier/publication/publid/1091/

Lebovits, J. & Podolskij, M. (2016). Estimation of the global regularity of a multifractional Brownian motion. Institut for Økonomi, Aarhus Universitet. CREATES Research Paper No. 2016-33

Rønn-Nielsen, A. & Jensen, E. B. V. (2016). Excursion sets of infinitely divisible random fields with convolution equivalent Lévy measure. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Vol. 2016/11 http://math.au.dk/publs?publid=1075

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

Asmussen, S. & Rønn-Nielsen, A. (2010). Failure Recovery via RESTART: Wallclock Models. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.

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Revised 08.03.2023

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Lars Madsen