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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

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

Christensen, J. T., Azeez, M. O., Munkholm, L. J., Kristensen, H. L., Labouriau, R. & Rubæk, G. H. (2017). Growth of barley roots in a sandy soil after 74 years of contrasting applications of lime and superphosphate. Abstract from XVIII International Plant Nutrition Colloquium, Copenhagen, Denmark.

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

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

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

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

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

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.

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

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

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. https://doi.org/10.1007/978-3-319-51951-7_7

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

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.

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

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). https://doi.org/10.19195/0208-4147.37.2.3

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.

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. https://doi.org/10.3150/16-BEJ836

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

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.

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

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

Neuhäuser, D., Hirsch, C., Gloaguen, C. & Schmidt, V. (2016). A stochastic model for multi-hierarchical networks. Methodology and Computing in Applied Probability, 18(4), 1129-1151.

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

Hirsch, C. (2016). Bounded-hop percolation and wireless communication. Journal of Applied Probability, 53(3), 833-845.

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

Strauch, C. (2016). Exact adaptive pointwise drift estimation for multidimensional ergodic diffusions. Prob. Theory Rel. Fields, 164(1-2), 361-400.

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Lars Madsen