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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

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

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

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

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

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

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

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

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

Asmussen, S. & Foss, S. (2017). Regular variation in a fixpoint problem for single- and multiclass queues and branching processes. https://arxiv.org/pdf/1709.05140.pdf

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

Ivanovs, J. (2017). Robust bounds in multivariate extremes. http://thiele.au.dk/publications/2017/

Svane, A. M. & Vedel Jensen, E. B. (2017). Rotational Crofton formulae for Minkowski tensors and some affine counterparts. Advances in Applied Mathematics, 91, 44-75. https://doi.org/10.1016/j.aam.2017.05.009

Kiderlen, M. & Jensen, E. B. V. (2017). Rotation Invariant Valuations. In E. B. V. Jensen & M. Kiderlen (Eds.), Tensor Valuations and Their Applications in Stochastic Geometry and Imaging (Vol. 2177 , pp. 185-212). Springer.

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

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

Tataru, P., Simonsen, M., Bataillon, T. & Hobolth, A. (2017). Statistical Inference in the Wright–Fisher Model Using Allele Frequency Data. Systematic Biology, 66(1), e30-e46. https://doi.org/10.1093/sysbio/syw056

Kousholt, A., Ziegel, J., Kiderlen, M. & Jensen, E. B. V. (2017). Stereological estimation of mean particle volume tensors in R3 from vertical sections. In E. B. V. Jensen & M. Kiderlen (Eds.), Tensor Valuations and Their Applications in Stochastic Geometry and Imaging (Vol. 2177, pp. 423-434). Springer.

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

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. & Taimre, T. (2017). Tail asymptotics of light-tailed Weibull-like sums. (pp. 235-256). http://thiele.au.dk/publications/2017/

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.

Sørensen, C. K., Labouriau, R. & Hovmøller, M. S. (2017). Temporal and spatial variability of fungal structures and host responses in an incompatible Rust-Wheat interaction. Frontiers in Plant Science, 8, Article 484. https://doi.org/10.3389/fpls.2017.00484

Kiderlen, M. & Jensen, E. B. V. (Eds.) (2017). Tensor Valuations and Their Applications in Stochastic Geometry and Imaging. Springer. Lecture Notes in Mathematics Vol. 2177

Fissler, T. & Podolskij, M. (2017). Testing the maximal rank of the volatility process for continuous diffusions observed with noise. Bernoulli, 23(4B), 3021-3066.

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

Kiderlen, M. & Dorph-Petersen, K.-A. (2017). The Cavalieri estimator with unequal section spacing revisited. http://csgb.dk/publications/csgbrr/2017/

Thorbjørnsen, S., Hasebe, T. & Sakuma, N. (2017). The normal distribution is freely selfdecomposable. International Mathematics Research Notices, 1-22.

Jensen, E. B. V. & Gundersen, H. J. G. (2017). THE WORKSHOPS ON STOCHASTIC GEOMETRY, STEREOLOGY AND IMAGE ANALYSIS. Image Analysis and Stereology, 36(3), 179-185. https://doi.org/10.5566/ias.1755

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

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

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

Engelke, S. & Ivanovs, J. (2016). A Lévy-derived process seen from its supremum and max-stable processes. Electronic Journal of Probability, 21. https://projecteuclid.org/euclid.ejp/1456246245

Jörnsten, K. & Klose, A. (2016). An improved Lagrangian relaxation and dual ascent approach to facility location problems. Computational Management Science, 13(3), 317-348. https://doi.org/10.1007/s10287-015-0244-z

Laub, P. J., Asmussen, S., Jensen, J. L. & Rojas-Nandayapa, L. (2016). Approximating the Laplace transform of the sum of dependent lognormals. Advances in Applied Probability, 48(A), 203-215. https://doi.org/10.1017/apr.2016.50

Hinrichsen, L. K., Riber, A. B. & Labouriau, R. (2016). Associations between and development of welfare indicators in organic layers. Animal, 10(6), 953-960. https://doi.org/10.1017/S1751731115003018

Podolskij, M. & Thamrongrat, N. (2016). A weak limit theorem for numerical approximation of Brownian semi-stationary processes. In F. E. Benth & G. Di Nunno (Eds.), Stochastics of Environmental and Financial Economics (pp. 101-120). Springer. https://doi.org/10.1007/978-3-319-23425-0_4

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/

Podolskij, M. & Yoshida, N. (2016). Edgeworth expansion for functionals of continuous diffusion processes. Annals of Applied Probability, 26(6), 3415-3455. https://doi.org/10.1214/16-AAP1179

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/

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

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

Albrecher, H., Ivanovs, J. & Zhou, X. (2016). Exit identities for Lévy processes observed at Poisson arrival times. Bernoulli, 22(3), 1364-1382. https://doi.org/10.3150/15-BEJ695

Asmussen, S., Jensen, J. L. & Rojas-Nandayapa, L. (2016). Exponential Family Techniques for the Lognormal Left Tail. Scandinavian Journal of Statistics, 43(3), 774-787. https://doi.org/10.1111/sjos.12203

Hinrichsen, L. K., Labouriau, R., Engberg, R. M., Knierim, U. & Sørensen, J. T. (2016). Helminth infection is associated with hen mortality in Danish organic egg production. Veterinary Record, 179(8), article 196. https://doi.org/10.1136/vr.103614

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

Bak, B. A. & Jensen, J. L. (2016). High dimensional classifiers in the imbalanced case. Computational Statistics & Data Analysis, 98, 46-59. https://doi.org/10.1016/j.csda.2015.12.009

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

Thomsen, R., Edwards, S. A., Rousing, T., Labouriau, R. & Sørensen, J. T. (2016). Influence of social mixing and group size on skin lesions and mounting in organic entire male pigs. Animal, 10(7), 1225-1233. https://doi.org/10.1017/S1751731116000069

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Revised 02.12.2024

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Lars Madsen