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2017

Bidrag til artikel

Rønn-Nielsen, A., Sporring, J. & Jensen, E. B. V. (2017). Estimation of sample spacing in stochastic processes. Image Analysis and Stereology, 36(1), 43-49. https://doi.org/10.5566/ias.1681
Rønn-Nielsen, A. & Jensen, E. B. V. (2017). Excursion sets of infinitely divisible random fields with convolution equivalent Lévy measure. Journal of Applied Probability, 54(3), 833-851. https://doi.org/10.1017/jpr.2017.37
Rodriguez Algaba, J., Sørensen, C. K., Labouriau, R., Justesen, A. F. & Hovmøller, M. S. (2017). Genetic diversity within and among aecia of the wheat rust fungus Puccinia striiformis on the alternate host Berberis vulgaris. Fungal Biology, 121(6-7), 541-549. https://doi.org/10.1016/j.funbio.2017.03.003
Rasmussen, M. J., Bertl, J., Guo, Q., Nielsen, M. M., Świtnicki, M., Hornshøj, H., Madsen, T., Hobolth, A. & Pedersen, J. S. (2017). Non-coding cancer driver candidates identified with a sample- and position-specific model of the somatic mutation rate. eLife, 6, Artikel e21778. https://doi.org/10.7554/eLife.21778
Prokešová, M., Dvořák, J. & Jensen, E. B. V. (2017). Two-step estimation procedures for inhomogeneous shot-noise Cox processes. Annals of the Institute of Statistical Mathematics, 69(3), 513-542. https://doi.org/10.1007/s10463-016-0556-y
Podolskij, M., Veliyev, B. & Yoshida, N. (2017). Edgeworth expansion for the pre-averaging estimator. Stochastic Processes and Their Applications, 127(11), 3558-3595 . https://doi.org/10.1016/j.spa.2017.03.001
Podolskij, M. & Lebovits, J. (2017). Estimation of the global regularity of a multifractional Brownian motion. Electronic Journal of Statistics, 11(1), 78-98. https://doi.org/10.1214/16-EJS1221
Podolskij, M. & Basse-O'Connor, A. (2017). On critical cases in limit theory for stationary increments Levy driven moving averages. Stochastics: An International Journal of Probability and Stochastic Processes , 89(1), 360-383. https://doi.org/10.1080/17442508.2016.1191493
Podolskij, M., Schmidt, C. & Vetter, M. (2017). On U- and V-statistics for discontinuous Ito semimartingales. Annales de l'Institut Henri Poincaré, Probabilités et Statistiques, 53(3), 1007-1050. https://doi.org/10.1214/16-AIHP744
Overgaard, M., Parner, E. T. & Pedersen, J. (2017). Asymptotic theory of generalized estimating equations based on jack-knife pseudo-observations. Annals of Statistics, 45(5), 1988-2015. https://doi.org/10.1214/16-AOS1516
Myllymäki, M., Mrkvička, T., Grabarnik, P., Seijo, H. & Hahn, U. (2017). Global Envelope Tests for Spatial Processes. Journal of the Royal Statistical Society, Series B (Statistical Methodology), 79(2), 381-404. https://doi.org/10.1111/rssb.12172
Mrkvička, T., Myllymäki, M. & Hahn, U. (2017). Multiple Monte Carlo Testing, with Applications in Spatial Point Processes. Statistics and Computing, 27(5), 1239–1255. https://doi.org/10.1007/s11222-016-9683-9
Madsen, T., Hobolth, A., Jensen, J. L. & Pedersen, J. S. (2017). Significance evaluation in factor graphs. BMC Bioinformatics , 18(1), 199. Artikel 199. https://doi.org/10.1186/s12859-017-1614-z
Lamandé, M., Schjønning, P. & Labouriau, R. (2017). A novel method for estimating soil precompression stress from uniaxial confined compression tests. Soil Science Society of America Journal, 81(5), 1005-1013. https://doi.org/10.2136/sssaj2016.09.0274
Kiderlen, M. & Dorph-Petersen, K. A. (2017). The Cavalieri estimator with unequal section spacing revisited. Image Analysis and Stereology, 36(2), 135-141. https://doi.org/10.5566/ias.1723
Hug, D., Kiderlen, M. & Svane, A. M. (2017). Voronoi-Based Estimation of Minkowski Tensors from Finite Point Samples. Discrete & Computational Geometry, 57(3), 545-570. https://doi.org/10.1007/s00454-016-9851-x
Hirsch, C. (2017). From heavy-tailed Boolean models to scale-free Gilbert graphs. Brazilian Journal of Probability and Statistics, 31(1), 111-143.
Hirsch, C., Brereton, T. & Schmidt, V. (2017). Percolation and convergence properties of graphs related to minimal spanning forests. Electronic Journal of Probability, 22, 1-21.
Hirsch, C., Jahnel, B., Keeler, P. & Patterson, R. IA. (2017). Traffic flow densities in large transport networks. Advances in Applied Probability, 49(4), 1091-1115.
Heydari, S., Allahyari, H., Labouriau, R., Golpayegani, A. Z. & Enkegaard, A. (2017). Patch residence time and patch preference of the predatory mite Amblyseius swirskii in relation to prey diversity. BioControl, 62(2), 209-219. https://doi.org/10.1007/s10526-017-9788-x
Fissler, T. & Podolskij, M. (2017). Testing the maximal rank of the volatility process for continuous diffusions observed with noise. Bernoulli, 23(4B), 3021-3066. https://doi.org/10.3150/16-BEJ836
Duan, Y.-F., Kong, X., Schramm, A., Labouriau, R., Eriksen, J. & Petersen, S. O. (2017). Microbial N Transformations and N2O Emission after Simulated Grassland Cultivation: Effects of the Nitrification Inhibitor 3,4-Dimethylpyrazole Phosphate (DMPP). Applied and Environmental Microbiology, 83(1), Artikel e02019-16. https://doi.org/10.1128/AEM.02019-16
Christensen, K., Podolskij, M., Thamrongrat, N. & Veliyev, B. (2017). Inference from high-frequency data: A subsampling approach. Journal of Econometrics, 197(2), 245–272. https://doi.org/10.1016/j.jeconom.2016.07.010
Chen, L., Coulhon, T., Feneuil, J. & Russ, E. (2017). Riesz Transform for 1 ≤ p≤ 2 Without Gaussian Heat Kernel Bound. Journal of Geometric Analysis, 27(2), 1489-1514. https://doi.org/10.1007/s12220-016-9728-5
Baudoin, F. (2017). Bakry–Émery meet Villani. Journal of Functional Analysis, 273(7), 2275-2291. https://doi.org/10.1016/j.jfa.2017.06.021
Baudoin, F. & Garofalo, N. (2017). Curvature-dimension inequalities and Ricci lower bounds for sub-Riemannian manifolds with transverse symmetries. Journal of the European Mathematical Society, 19(1), 151-219. https://doi.org/10.4171/JEMS/663
Baudoin, F. (2017). Stochastic analysis on Sub-Riemannian manifolds with transverse symmetries. Annals of Probability, 45(1), 56-81. https://doi.org/10.1214/14-AOP964
Baudoin, F. & Wang, J. (2017). Stochastic areas, winding numbers and Hopf fibrations. Probability Theory and Related Fields, 169(3-4), 977-1005. https://doi.org/10.1007/s00440-016-0745-x
Basse-O'Connor, A., Lachieze-Rey, R. & Podolskij, M. (2017). Power variation for a class of stationary increments Levy driven moving averages. Annals of Probability, 45(6B), 4477-4528. https://doi.org/10.1214/16-AOP1170
Baral, K. R., Labouriau, R., Olesen, J. E. & Petersen, S. O. (2017). Nitrous oxide emissions and nitrogen use efficiency of manure and digestates applied to spring barley. Agriculture, Ecosystems & Environment, 239, 188-198. https://doi.org/10.1016/j.agee.2017.01.012
Asmussen, S. & Lehtomaa, J. V. (2017). Distinguishing log-concavity from heavy tails. Risks, 5(1). https://doi.org/10.3390/risks5010010
Asmussen, S. & Thøgersen, J. (2017). Markov dependence in renewal equations and random sums with heavy tails. Stochastic Models, 33(4), 617-632. https://doi.org/10.1080/15326349.2017.1375860
Asmussen, S. & Glynn, P. W. (2017). On preemptive-repeat LIFO queues. Queueing Systems, 87(1-2), 1-22. https://doi.org/10.1007/s11134-017-9532-3
Asmussen, S., Hashorva, E., Laub, P. & Taimre, T. (2017). Tail asymptotics for light-tailed Weibull-like sums. Probability and Mathematical Statistics, 37(2), 235-256.
Asmussen, S., Hashorva, E., Laub, P. J. & Taimre, T. (2017). TAIL ASYMPTOTICS OF LIGHT-TAILED WEIBULL-LIKE SUMS. Probability and Mathematical Statistics, 37(2), 235-256.
Asmussen, S., Ivanovs, J. & Rønn-Nielsen, A. (2017). Time inhomogeneity in longest gap and longest run problems. Stochastic Processes and Their Applications, 127(2), 574-589. https://doi.org/10.1016/j.spa.2016.06.018

2016

Arbejdspapir (Working Paper)

Labouriau, R. (2016). The Laplace transform and polynomial approximation in L2. ArXiv. http://arxiv.org/pdf/1603.03473v1.pdf
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
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/
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
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 Bind 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 Bind 2016/11 http://math.au.dk/publs?publid=1075
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
Lebovits, J. & Podolskij, M. (2016). Estimation of the global regularity of a multifractional Brownian motion. Institut for Økonomi, Aarhus Universitet. CREATES Research Paper Nr. 2016-33
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
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/
Jensen, E. B. V. & Kiderlen, M. (2016). Rotation Invariant Valuations. (s. 961-981). Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Bind 2016/03 https://doi.org/10.1016/j.aim.2015.12.030
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 Bind 2016/10 http://math.au.dk/publs?publid=1074
Asmussen, S. & Lehtomaa, J. V. (2016). Distinguishing log-concavity from heavy tails. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet. Thiele Research Reports Bind 6, 2016 http://math.au.dk/forskning/publikationer/instituttets-serier/publication/publid/1090/

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Revideret 03.03.2026
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Lars Madsen