Publications

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2017

Bidrag til artikel

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

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

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, 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. K., 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), [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

Barndorff-Nielsen, O. E., Hedevang, E. & Schmiegel, J. (2017). Incremental similarity and turbulence. Theory of Probability and Its Applications, 61(3), 482-489. https://doi.org/10.1137/S0040585X97T988289

Barndorff-Nielsen, O. E., Sauri, O. & Szozda, B. (2017). Selfdecomposable fields. Journal of Theoretical Probability, 30(1), 233-267. https://doi.org/10.1007/s10959-015-0630-z

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. J. & Taimre, T. (2017). TAIL ASYMPTOTICS OF LIGHT-TAILED WEIBULL-LIKE SUMS. Probability and Mathematical Statistics, 37(2), 235-256.

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., 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

Arbejdspapir (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 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 Papers 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. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Bind 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 Bind 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 Bind 2016/10 http://math.au.dk/publs?publid=1074

Barndorff-Nielsen, O. E. (2016). Assessing Gamma kernels and BSS/LSS processes. Institut for Økonomi, Aarhus Universitet. CREATES Research Papers Nr. 2016-09

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/

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

2016

Bidrag til konference

Labouriau, R. (2016). Multivariate Generalized Linear Mixed Models with High Complexity / Modèles linéaires généralisés mixtes multivariés avec complexité élevée. Abstract fra 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 fra AU Workshop on Stochastic Geometry, Stereology and their Applications, Sønderborg, Danmark.

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

2016

Bidrag til bog-antologi

Nielsen, S., Simonsen, S. & Hobolth, A. (2016). Inferring Population Genetic Parameters: Particle Filtering, HMM, Ripley’s K-Function or Runs of Homozygosity? I M. Frith & C. Nørgaard Storm Pedersen (red.), WABI 2016: 16th International Workshop (Bind 9838, s. 234-245). Springer. Lecture Notes in Computer Science http://link.springer.com/chapter/10.1007/978-3-319-43681-4_19/fulltext.html

Barndorff-Nielsen, O. E. (2016). Gamma kernels and BSS/LSS processes. I J. Kallsen & A. Papapantoleon (red.), Advanced Modeling in Mathematical Finance. In Honor of Ernst Eberlein (s. 41-61). Springer. Springer Proceedings in Mathematics & Statistics Bind 189 https://doi.org/10.1007/978-3-319-45875-5

Asmussen, S., Lipsky, L. & Thompson, S. (2016). Markov renewal methods in RESTART problems in complex systems. I M. Podolskij, R. Stelzer, S. Thorbjørnsen & A. E. D. Veraart (red.), The Fascination of Probability, Statistics, and their Applications: In Honour of Ole E. Barndorff-Nielsen (s. 501-527). Springer.

Thompson, S., Lipsky, L. & Asmussen, S. (2016). Linear algebraic methods in RESTART problems in Markovian systems. I L. Fiondella & A. Puliafito (red.), Principles of Performance and Reliability Modeling and Evaluation: Essays in Honor of Kishor Trivedi on his 70th Birthday (Bind Part 3, s. 449-479). Springer. Springer Series in Reliability Engineering https://doi.org/10.1007/978-3-319-30599-8_17

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Revideret 23.02.2021 -

Lars Madsen