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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.), Algorithms in Bioinformatics - 16th International Workshop, WABI 2016, Proceedings (Bind 9838, s. 234-245). Springer. https://doi.org/10.1007/978-3-319-43681-4_19
Hirsch, C., Jahnel, B., Keeler, P. & Patterson, R. IA. (2016). Large deviation principles for connectable receivers in wireless networks. Advances in Applied Probability, 48(4), 1061-1094.
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. https://doi.org/10.1007/978-3-319-30599-8_17
Hirsch, C., Neuhäuser, D. & Schmidt, V. (2016). Moderate deviations for shortest-path lengths on random segment processes. ESAIM: Probability and Statistics, 20, 261-292.
Mrkvička, T., Soubeyrand, S., Myllymäki, M., Grabarnik, P. & Hahn, U. (2016). Monte Carlo testing in spatial statistics, with applications to spatial residuals. Spatial Statistics, 18(A), 40-53. https://doi.org/10.1016/j.spasta.2016.04.005
Hirsch, C. (2016). On the absence of percolation in a line-segment based lilypond model. I Annales de l'Institut Henri Poincaré, Probabilités et Statistiques (Bind 52, s. 127-145)
Jensen, J. L., Asmussen, S. & Rojas-Nandayapa, L. (2016). On the Laplace transform of the lognormal distribution. Methodology and Computing in Applied Probability, 18(2), 441-458. https://doi.org/10.1007/s11009-014-9430-7
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/
Basse-O'Connor, A. & Weber, M. (2016). On the Φ-variation of stochastic processes with exponential moments. Transactions of the London Mathematical Society, 3(1), 1-27. https://doi.org/10.1112/tlms/tlw001
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/
Asmussen, S., Laub, P. & Goffard, P.-O. (2016). Orthonormal polynomial expansions and lognormal sum densities. I P. Barrieu (red.), Risk and Stochastics. Ragnar Norberg at 70 World Scientific. http://www.worldscientific.com/worldscibooks/10.1142/q0057
Christensen, S. T. & Kiderlen, M. (2016). Poster: Comparison of two global digital algorithms for Minkowski tensor estimation. Poster-session præsenteret på AU Workshop on Stochastic Geometry, Stereology and their Applications, Sønderborg, Danmark.
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.
Clark, C., Ely, J., Spagnolo, M., Hahn, U., Stokes, C. & Hughes, A. (2016). Regular patterns in subglacial bedforms demonstrate emergent field behaviour. Geophysical Research Abstracts, 18, 1389. Artikel EGU2016-1389-1. http://meetingorganizer.copernicus.org/EGU2016/EGU2016-1389-1.pdf
Baudoin, F. & Bonnefont, M. (2016). Reverse Poincaré inequalities, isoperimetry, and Riesz transforms in Carnot groups. Nonlinear Analysis: Theory, Methods & Applications, 131, 48-59. https://doi.org/10.1016/j.na.2015.10.014
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
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
Baudoin, F., Ouyang, C. & Zhang, X. (2016). Smoothing effect of rough differential equations driven by fractional Brownian motions. Annales de l'institut Henri Poincare (B) Probability and Statistics, 52(1), 412-428. https://doi.org/10.1214/14-AIHP642
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
Kasenburg, N., Darkner, S., Hahn, U., Liptrot, M. & Feragen, A. (2016). Structural parcellation of the thalamus using shortest-path tractography. I 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) (s. 559-563). IEEE. https://doi.org/10.1109/ISBI.2016.7493330
Demétrio, C. G. B., Maia, R. P. & Labouriau, R. (2015). A competing risk model for discrete time with masked causes and gaussian random component.. Abstract fra The 8th Conference of the Eastern Mediterranean Region International Biometric Society, Tyrkiet.
Hirsch, C. (2015). A Harris-Kesten theorem for confetti percolation. Random Structures Algorithms, 47(2), 361-385.
Podolskij, M. (2015). Ambit fields: survey and new challenges. I R. H. Mena, J. C. Pardo, V. Rivero & G. U. Bravo (red.), XI Symposium of Probability and Stochastic Processes: CIMAT, Mexico, November 18-22, 2013 (s. 241-279). Springer. https://doi.org/10.1007/978-3-319-13984-5_12
Hahn, U. (2015). A note on simultaneous Monte Carlo tests. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Nr. 06 http://math.au.dk/publs?publid=1042
Hirsch, C., Neuhäuser, D., Gloaguen, C. & Schmidt, V. (2015). Asymptotic properties of Euclidean shortest-path trees in random geometric graphs. Statistics probability letters, 107, 122-130.
Podolskij, M. & Thamrongrat, N. (2015). A weak limit theorem for numerical approximation of Brownian semi-stationary processes. Institut for Økonomi, Aarhus Universitet. CREATES Research Paper Nr. 2015-53
Baudoin, F. & Bonnefont, M. (2015). Curvature-dimension estimates for the Laplace-Beltrami operator of a totally geodesic foliation. Nonlinear Analysis: Theory, Methods & Applications, 126, 159-169. Artikel 10576. https://doi.org/10.1016/j.na.2015.06.025