Publications

All data comes from articles registered in PURE.

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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

Hahn, U. & Sandau, K. (1989). Precision of surface area estimation using spatial grids. Acta Stereologica, 8(2), 425.

Hahn, U. & Lorz, U. (1994). Stereological analysis of the spatial Poisson-Voronoi tessellation. Journal of Microscopy, 175(3), 176-185.

Hahn, U. (1993). The effect of improper realignment of serial sections on surface area measurements of 3D-reconstructed objects. Acta Stereologica, 12(2), 169-174.

Hahn, U. (1998). Estimation of local density in gradient surface and fibre processes. Advances in Applied Probability, 30, 279-280.

Hahn, U. (1995). Two phase planar tessellations - an "infection" model and a test of randomness. In Proceedings of the 9th International Congress on Stereology

Hahn, U. & Lorz, U. (1994). On the precision of some stereological estimators for the spatial Poisson-Voronoi tessellation. Acta Stereologica, 13(1), 245-250.

Hahn, U. & Lorz, U. (1993). Stereological model tests for the spatial Poisson-Voronoi tessellation II. Acta Stereologica, 12(2), 131-140.

Hahn, U., Micheletti, A., Pohlink, R., Stoyan, D. & Wendrock, H. (1999). Stereological analysis and modelling of gradient structures. Journal of Microscopy, 195(2), 113-124.

Hahn, U. & Stoyan, D. (1998). Unbiased stereological estimation of the surface area of gradient surface processes. Advances in Applied Probability, 30, 904-920.

Hahn, U. & Stoyan, D. (1997). Estimating local surface area density in gradient materials. In Proceedings of International Conference on the Quantitative Description of Materials Microstructure - QMAT '97. Warsaw, 16-19 April 1997 (pp. 19-26). Jagiellonian University Press.

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

Hahn, U. (2013). fdnonpar: an R package for statistical analysis of multivariate or functional data.. Software, R-Forge. https://r-forge.r-project.org/R/?group_id=1763

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

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

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

Hahn, U. (1998). Stochastische Modelle und Stereologie für Strukturen mit Gradienten (Stochastic models and stereology for structures with a gradient).

Hahn, U. (2007). Global and Local Scaling in the Statistics of Spatial Point Processes.

Haagerup, U. & Thorbjørnsen, S. (2012). Asymptotic Expansions for the Gaussian Unitary Ensemble. Infinite Dimensional Analysis, Quantum Probability and Related Topics, 15(1), 1250003. https://doi.org/10.1142/S0219025712500038

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

Gutkowski, P., Jensen, E. B. V. & Kiderlen, M. (2004). Directional analysis of digitized 3D images by configuration counts. Journal of Microscopy, 216(2), 175-185. https://doi.org/10.1111/j.0022-2720.2004.01405.x

Gundersen, H. J. G., Jensen, E. B. V., Kieu, K. & Nielsen, J. (1999). The efficiency of systematic sampling in stereology-reconsidered. Journal of Microscopy, 193(3), 199-211. https://doi.org/10.1046/j.1365-2818.1999.00457.x

Guldbrandtsen, B. & Labouriau, R. (2006). Confirming QTL. In Book of abstracts: CD communication 22-26, 3 pp (pp. 203). WCGALP. http://www.wcgalp8.org.br/wcgalp8/articles/paper/22_729-1059.pdf

Guillot, J.-C., Jensen, J. L., Jensen, A. & Holm-Jacobsen, B. (Eds.) (1999). Mini-proceedings: First MaPhySto Workshop on Inverse Problems: Inverse Problems in Stratified Media. MaPhySto, Aarhus University.

Greilich, S., Grzanka, L., Hahn, U., Kiderlen, M., Bassler, N., Andersen, C. E. & Jäkel, O. (2009). Amorphous track models: a numerical comparison study. Poster session presented at Neutron and Ion Dosimetry Symposium (NEUDOS-11), Cape Town, South Africa.

Greilich, S., Grzanka, L., Hahn, U., Kiderlen, M., Bassler, N., Andersen, C. E. & Jäkel, O. (2010). Amorphous track models: a numerical comparison study. Radiation Measurements, 45(10), 1406-1409. https://doi.org/10.1016/j.radmeas.2010.05.039

Greilich, S., Hahn, U., Kiderlen, M., Andersen, C. E. & Bassler, N. (2014). Efficient calculation of local dose distributions for response modeling in proton and heavier ion beams. The European Physical Journal D: Atomic, Molecular, Optical and Plasma Physics, 68(217), Article 327. https://doi.org/10.1140/epjd/e2014-40825-0

Graversen, S.-E. & Pedersen, J. (2011). Representations of Urbanik's classes and multiparameter Ornstein-Uhlenbeck processes. Electronic Communications in Probability, 16, 200-212. http://www.math.washington.edu/~ejpecp/ECP/viewarticle.php?id=2285&layout=abstract

Görtz, S. & Klose, A. (2009). Analysis of some greedy algorithms for the single-sink fixed-charge transportation problem. Journal of Heuristics, 15(4), 331-349. https://doi.org/10.1007/s10732-007-9065-8

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

Görtz, S. & Klose, A. (2012). A simple but usually fast branch-and-bound algorithm for the capacitated facility location problem. INFORMS Journal on Computing, 24(4), 597-610. https://doi.org/10.1287/ijoc.1110.0468

Goodey, P., Kiderlen, M. & Weil, W. (2011). Spherical projections and liftings in geometric tomography. Advances in Geometry, 11(1), 1-47. https://doi.org/10.1515/ADVGEOM.2010.037

González, J. A., Hahn, U. & Mateu, J. (2020). Analysis of tornado reports through replicated spatio-temporal point patterns. Journal of the Royal Statistical Society, Series C (Applied Statistics), 69(1), 3-23. https://doi.org/10.1111/rssc.12375

Gomez, A. I., Kiderlen, M. & Pausinger, F. (2022). Improved entropy bounds for parity filtered self-timed ring based random number generators. Information Processing Letters, 174, Article 106212. https://doi.org/10.1016/j.ipl.2021.106212

Goertz, S. & Klose, A. (2007). The single-sink fixed-charge transportation problem: Applications and solution methods. In Management logistischer Netzwerke: Entscheidungsunterstützung, Informationssysteme und OR-Tools (pp. 383-406). Physica-Verlag.

Gille, S. & Hirsch, C. (2022). On the splitting principle for cohomological invariants of reflection groups. Transformation Groups, 27(4), 1261-1285. https://doi.org/10.1007/s00031-020-09637-6

Gaustadnes, M., Ørntoft, T. F., Jensen, J. L. & Tørring, N. (2006). Validation of the use of DNA pools and primer extension in association studies of sporadic colorectal cancer for selection of candidate SNPs. Human Mutation, 27(2), 187-194.

Gärtner, K. & Podolskij, M. (2015). On non-standard limits of Brownian semi-stationary processes. Stochastic Processes and Their Applications, 125(2), 653-677. https://doi.org/10.1016/j.spa.2014.09.019

Gardner, R. J., Jensen, E. B. V. & Volcic, A. (2003). Geometric tomography and local stereology. Advances in Applied Mathematics, 30(3), 397-423.

Gardner, R., Kiderlen, M. & Milanfar, P. (2006). Convergence of Algorithms for Reconstructing Convex Bodies and Directional Measures. Annals of Statistics, 34(3), 1331-1374.

Gardner, R. J., Hobolth, A., Jensen, E. B. V. & Sørensen, F. B. (2005). Shape discrimination by total curvature, with a view to cancer diagnostics. J. Microsc., 217, 49-59.

Gardner, R. J. & Kiderlen, M. (2007). A Solution to Hammer's X-ray Reconstruction Problem. Advances in Mathematics, 214, 323-343. https://doi.org/10.1016/j.aim.2007.02.005

Gardner, R. & Kiderlen, M. (2009). A new algorithm for 3D reconstruction from support functions. I E E E Transactions on Pattern Analysis and Machine Intelligence, 31(3), 556-562. https://doi.org/10.1109/TPAMI.2008.190

Gardner, R. J. & Kiderlen, M. (2015). Operations Between Functions. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports No. 11 http://math.au.dk/publs?publid=1049

Gardner, R. & Kiderlen, M. (2018). Operations between functions. Communications in Analysis and Geometry, 26(4), 787-855. https://doi.org/10.4310/CAG.2018.v26.n4.a5

Gao, J. & Yang, M. (2026). Hölder regularity of harmonic functions on metric measure spaces. Advances in Mathematics, 488, Article 110797. https://doi.org/10.1016/j.aim.2026.110797

Gadegaard, S. L., Klose, A. & Nielsen, L. R. (2018). A bi-objective approach to discrete cost-bottleneck location problems. Annals of Operations Research, 267(1-2), 179-201. https://doi.org/10.1007/s10479-016-2360-8

Gadegaard, S. L., Klose, A. & Nielsen, L. R. (2018). An improved cut-and-solve algorithm for the single-source capacitated facility location problem. EURO Journal on Computational Optimization, 6(1), 1-27. https://doi.org/10.1007/s13675-017-0084-4

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

Frydenberg, M. & Jensen, J. L. (1989). Is the 'improved likelihood ratio statistic' really improved in the discrete case? Biometrika, 76(4), 655-661. https://doi.org/10.1093/biomet/76.4.655

Displaying results 651 to 700 out of 1342

Revised 10.06.2026

Lars Madsen