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Bülow, E., Hahn, U., Andersen, I. T., Rolfson, O., Pedersen, A. B. & Hailer, N. P. (2022). Prediction of Early Periprosthetic Joint Infection After Total Hip Arthroplasty. Clinical Epidemiology, 14, 239-253. https://doi.org/10.2147/CLEP.S347968

Hahn, U. & Sandau, K. (1989). Precision of surface area estimation using spatial grids. Acta Stereologica, 8(2), 425.

Christensen, K., Kinnebrock, S. & Podolskij, M. (2010). Pre-averaging estimators of the ex-post covariance matrix in noisy diffusion models with non-synchronous data. Journal of Econometrics, 159(1), 116-133. https://doi.org/10.1016/j.jeconom.2010.05.001

Hautsch, N. & Podolskij, M. (2013). Pre-averaging based estimation of quadratic variation in the presence of noise and jumps: theory, implementation, and empirical evidence. Journal of Business and Economic Statistics, 31(2), 165-183.

Hautsch, N. & Podolskij, M. (2013). Preaveraging-Based Estimation of Quadratic Variation in the Presence of Noise and Jumps: Theory, Implementation, and Empirical Evidence. Journal of Business and Economic Statistics, 31(2), 165-183. https://doi.org/10.1080/07350015.2012.754313

Elkjær, K., Labouriau, R., Ancker, M.-L., Gustafsson, H. & Callesen, H. (2013). Practical use of a uterine score system for predicting effects on interval from calving to first insemination and non-return rate 56 in Danish dairy herds. Veterinary Journal, 198(3), 644-648. https://doi.org/10.1016/j.tvjl.2013.09.022

Hasselholt, S., Hahn, U., Vedel Jensen, E. B. & Nyengaard, J. R. (2019). Practical implementation of the planar and spatial rotator in a complex tissue: the brain. Journal of Microscopy, 273(1), 26-35. https://doi.org/10.1111/jmi.12757

Basse-O'Connor, A., Pilipauskaite, V. & Podolskij, M. (2021). Power variations for fractional type infinitely divisible random fields. Electronic Journal of Probability, 26, Article 55. https://doi.org/10.1214/21-EJP617

Barndorff-Nielsen, O. E., Corcuera, J. M. & Podolskij, M. (2009). Power variation for Gaussian processes with stationary increments. Stochastic Processes and Their Applications, 119(6), 1845-1865. https://doi.org/10.1016/j.spa.2008.09.004

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

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.

Asmussen, S., Christensen, B. J. & Taksar, M. I. (2013). Portfolio size as funktion of the premium: modeling and optimization. T.N. Thiele Centre, Department of Mathematics, Aarhus University. Thiele Research Reports No. 01 http://math.au.dk/publs?publid=971

Asmussen, S., Christensen, B. J. & Taksar, M. (2013). Portfolio size as function of the premium: modelling and optimization. Stochastics: An International Journal of Probability and Stochastic Processes , 85(4 (Taksar Memorial Issue)), 575-588. https://doi.org/10.1080/17442508.2013.797426

Schjønning, P., Iversen, B. V., Munkholm, L. J., Labouriau, R. & Jacobsen, O. H. (2005). Pore characteristics and hydraulic properties of a sandy loam supplied for a century with either animal manure or mineral fertilizers. Soil Use and Management, 21(3), 265-275. https://doi.org/10.1111/j.1475-2743.2005.tb00398.x

Asmussen, S. & Bladt, M. (1994). Poisson's equation for queues driven by a Markovian marked point process. Queueing Systems Theory Appl., 17(1-2), 235-274.

Jensen, J. L. (2001). Poisson approximation to the distribution of rare events in DNA evolution. Department of Mathematical Sciences , University of Aarhus. Research Report Vol. 422 http://math.au.dk/publs?publid=251

Hirsch, C., Lundbye, N. N. & Otto, M. (2026). Poisson approximation of large-lifetime cycles. Extremes. Advance online publication. https://doi.org/10.1007/s10687-026-00526-x

Hirsch, C., Jahnel, B., Jhawar, S. K. & Juhasz, P. (2025). Poisson approximation of fixed-degree nodes in weighted random connection models. Stochastic Processes and Their Applications, 183, Article 104593. https://doi.org/10.1016/j.spa.2025.104593

Asmussen, S. & Bladt, M. (1999). Point processes with finite-dimensional conditional probabilities. Stochastic Process. Appl., 82(1), 127-142.

Hahn, U. (2013). plutils: an R package for plotting with style. Computer programme, R-Forge. https://r-forge.r-project.org/R/?group_id=1763

Amir, G., Heydenreich, M. & Hirsch, C. (2025). Planar reinforced k-out percolation. Stochastic Processes and Their Applications, 189, Article 104706. https://doi.org/10.1016/j.spa.2025.104706

Baudoin, F. & Thieullen, M. (2003). Pinning class of the Wiener measure by a functional: Related martingales and invariance properties. Probability Theory and Related Fields, 127(1), 1-36. https://doi.org/10.1007/s00440-003-0280-4

Azeez, M. O., Christensen, J. T., Ravnskov, S., Heckrath, G. J., Labouriau, R., Christensen, B. T. & Rubæk, G. H. (2020). Phosphorus in an arable coarse sandy soil profile after 74 years with different lime and P fertilizer applications. Geoderma, 376, Article 114555. https://doi.org/10.1016/j.geoderma.2020.114555

Asmussen, S. (1992). Phase-type representations in random walk and queueing problems. Annals of Probability, 20(2), 772-789.

Asmussen, S. (1991). Phase-type representation of waiting times. In J. W. Cohen & C. D. Pack (Eds.), Queueing, performance and control in ATM (pp. 157-159). North-Holland.

Rivas-González, I., Andersen, L. N. & Hobolth, A. (2023). PhaseTypeR: an R package for phase-type distributions in population genetics. The Journal of Open Source Software, 8(82). https://doi.org/10.21105/joss.05054

Asmussen, S., Laub, P. J. & Yang, H. (2019). Phase-type models in life insurance: fitting and valuation of equity-linked benefits. Risks, 7(1), Article 17. https://doi.org/10.3390/risks7010017

Asmussen, S. & Olsson, M. (1998). Phase type distributions (update). In S. Kotz (Ed.), Encyclopedia of statistical sciences: update (Vol. 2, pp. 525-530). Wiley.

Hobolth, A., Siri-Jegousse, A. & Bladt, M. (2019). Phase-type distributions in population genetics. Theoretical Population Biology, 127, 16-32. https://doi.org/10.1016/j.tpb.2019.02.001

Hobolth, A., Rivas-González, I., Bladt, M. & Futschik, A. (2024). Phase-type distributions in mathematical population genetics: An emerging framework. Theoretical Population Biology, 157, 14-32. https://doi.org/10.1016/j.tpb.2024.03.001

Asmussen, S. & Bladt, M. (1996). Phase-type distributions and risk processes with state-dependent premiums. Scandinavian Actuarial Journal, (1), 19-36.

Asmussen, S. (1996). Phase-type distributions and related point processes: fitting and recent advances. In S. Chakravarthy & A. S. Alfa (Eds.), Matrix-analytic methods in stochastic models (pp. 137-149). Marcel Dekker.

Bianchi, G., Gardner, R. & Kiderlen, M. (2011). Phase retrieval for characteristic functions of convex bodies and reconstruction from covariograms. Journal of the American Mathematical Society, 24(2), 293-343. https://doi.org/10.1090/S0894-0347-2010-00683-2

Sendrowski, J. & Hobolth, A. (2026). PhaseGen: exact solutions for time-inhomogeneous multivariate coalescent distributions under diverse demographies. Genetics, 232(1), Article iyaf135. https://doi.org/10.1093/genetics/iyaf135

Steffensen, M. & Thøgersen, J. (2019). Personal non-life insurance decisions and the welfare loss from flat deductibles. ASTIN Bulletin: The Journal of the IAA, 49(1), 85-116. https://doi.org/10.1017/asb.2018.40

Pedersen, J. (2002). Periodic Ornstein-Uhlenbeck processes driven by Levy processes. Journal of Applied Probability, 39, 748-763.

Asmussen, S. & Rubinstein, R. (1992). Performance evaluation for the score function method in sensitivity analysis and stochastic optimization. In G. Pflug & U. Dieter (Eds.), Simulation and optimization (pp. 1-13). Springer.

Asmussen, S. & Pihlsgård, M. (2004). Performance analysis with truncated heavy-tailed distributions. MaPhySto, Aarhus Universitet.

Asmussen, S. & Pihlsgård, M. (2005). Performance analysis with truncated heavy-tailed distributions. Methodology and Computing in Applied Probability, 7, 439-457.

Baudoin, F. & Garofalo, N. (2011). Perelman's entropy and doubling property on Riemannian manifolds. Journal of Geometric Analysis, 21(4), 1119-1131. https://doi.org/10.1007/s12220-010-9180-x

Hirsch, C., Cali, E., Patterson, R., En-Najjary, T., Gafur, N. & Jahnel, B. (2018). Percolation for D2D networks on street systems. In 2018 16th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2018 (Vol. 16) https://doi.org/10.23919/WIOPT.2018.8362866

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.

Hirsch, C., Jahnel, B. & Cali, E. (2022). Percolation and connection times in multi-scale dynamic networks. Stochastic Processes and Their Applications, 151, 490-518. https://doi.org/10.1016/j.spa.2022.06.008

Basse-O'Connor, A. & Graversen, S.-E. (2010). Path and semimartingale properties of chaos processes. Stochastic Processes and Their Applications, 120(4), 522-540. https://doi.org/10.1016/j.spa.2009.12.001

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

Pawlas, Z., Nyengaard, J. R. & Jensen, E. B. V. (2009). Particle sizes from sectional data. Biometrics, 65(1), 216-224. https://doi.org/10.1111/j.1541-0420.2008.01019.x

Barndorff-Nielsen, O. E., Jensen, J. L. & Sørensen, M. (1990). Parametric modelling of turbulence. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 332, 439-455.

Neuhaeuser, D., Hirsch, C., Gloaguen, C. & Schmidt, V. (2015). Parametric Modeling of Sparse Random Trees Using 3D Copulas. Stochastic Models, 31(2), 226-260.

Andersen, L. N. & Asmussen, S. (2007). Parallel computing, failure recovery, and extreme values. Department of Mathematical Sciences , University of Aarhus.

Andersen, L. N. & Asmussen, S. (2008). Parallel computing, failure recovery and extreme values. Journal of Statistical Theory and Practice, 2(2), 279-292.

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Lars Madsen