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Department of Mathematics

Publications

Other contribution

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

Non textual

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

Other contribution

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

Working Paper

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

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

Thórisdóttir, Ó. & Kiderlen, M. (2013). The invariator principle in convex geometry. Centre for Stochastic Geometry and Advanced Bioimaging, Aarhus University. CSGB Research Reports No. 06 http://math.au.dk/publs?publid=982

Thórisdóttir, Ó. & Kiderlen, M. (2012). Wicksell's Problem in Local Stereology. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports No. 05

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 Vol. 3, 2016 http://math.au.dk/forskning/publikationer/instituttets-serier/publication/publid/1080/

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 Vol. 2016/13 http://math.au.dk/publs?publid=1085

Stark, A. K., Gundersen, H. J. G., Gardi, J. E., Pakkenberg, B. & Hahn, U. (2009). The saucor, a new stereological tool for analysing the spatial distributions of cells, exempliﬁed by human neocortical neurons and glial cells. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.

Saffari, M., Asmussen, S. & Haji, R. (2010). The M/M/1 queue with inventory, lost sale and general lead times. Thiele Centre, Institut for Matematiske Fag, 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

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/

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

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

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

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

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

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

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

Podolskij, M., Schmidt, C. & Vetter, M. (2015). On U- and V-statistics for discontinuous Itô semimartingale. Institut for Økonomi, Aarhus Universitet. CREATES Research Paper No. 2015-52

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

Pelck, J. S. & Labouriau, R. (2020). Using Multivariate Generalised Linear Mixed Models for Studying Roots Development: An Example Based on Minirhizotron Observations. arXiv. https://arxiv.org/abs/2011.00546

Pedersen, J. & Sato, K. (2003). Semigroups and processes with parameter in a cone. MaPhySto, University of Aarhus.

Pedersen, J. & Sato, K. (2003). The class of distributions of periodic Ornstein-Uhlenbeck processes driven by Lévy processes. MaPhySto, University of Aarhus.

Pedersen, J. (2003). The Lévy-Itô decomposition of an independently scattered random measure. MaPhySto, University of Aarhus.

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

Myllymäki, M., Mrkvička, T., Grabarnik, P., Seijo, H. & Hahn, U. (2015). Global envelope tests for spatial processes. arXiv.org. http://arxiv.org/abs/1307.0239

Mrkvička, T., Myllymäki, M. & Hahn, U. (2015). Multiple Monte Carlo Testing with Applications in Spatial Point Processes. arXiv.org. http://arxiv.org/abs/1506.01646

Lorz, U. & Hahn, U. (1993). Geometric characteristics of spatial Voronoi tessellations and planar sections.

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

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

Labouriau, R. (2020). Inference Functions for Semiparametric Models. arXiv. http://arxiv.org/abs/2011.07275

Labouriau, R. (2020). On the Bias of the Score Function of Finite Mixture Models. arXiv.

Kousholt, A. & Kiderlen, M. (2015). Reconstruction of convex bodies from surface tensors. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports No. 10 http://math.au.dk/publs?publid=1046

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 No. 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 Vol. 2016/09 http://math.au.dk/publs?publid=1073

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

Kötzer, S., Jensen, E. B. V. & Baddeley, A. (2005). Geometric identities in stereological particle analysis. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.

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

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

Klose, A. (2006). Single-Sink Fixed-Charge Transportation: Applications and Exact Solution Algorithms. http://www.imf.au.dk/publs?id=627

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

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Lars Madsen