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2017

Contribution to journal

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, Article 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. Article 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

Ivanovs, J. (2017). Splitting and time reversal for Markov additive processes. Stochastic Processes and Their Applications, 127(8), 2699-2724. https://doi.org/10.1016/j.spa.2016.12.007

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

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.

Engelke, S. & Ivanovs, J. (2017). Robust bounds in multivariate extremes. Annals of Applied Probability, 27(6), 3706-3734. https://doi.org/10.1214/17-AAP1294

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), Article 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

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

Albrecher, H. & Ivanovs, J. (2017). On the joint distribution of tax payments and capital injections for a Lévy risk model. Probability and Mathematical Statistics, 37(2), 219-227. http://www.math.uni.wroc.pl/~pms/files/37.2/Article/37.2.1.pdf

Albrecher, H. & Ivanovs, J. (2017). Strikingly simple identities relating exit problems for Lévy processes under continuous and Poisson observations. Stochastic Processes and Their Applications, 127(2), 643-656. https://doi.org/10.1016/j.spa.2016.06.021

2016

Working Paper

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

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

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

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

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

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

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

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

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

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/

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 Vol. 2, 2016 http://math.au.dk/forskning/publikationer/instituttets-serier/publication/publid/1071/

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 Vol. 1, 2016 http://math.au.dk/forskning/publikationer/instituttets-serier/publication/publid/1066/

2016

Contribution to conference

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

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 from AU Workshop on Stochastic Geometry, Stereology and their Applications, Sønderborg, Denmark.

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

Displaying results 301 to 350 out of 1160

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Revised 02.12.2024

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Lars Madsen