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Labouriau, R. & Madsen, P. (2009). Modelling censored discrete time data with a view towards applications in animal quantitative genetics. Poster-session præsenteret på Annual Meeting of of the European Association for Animal Production, EAAP, Barcelona, Spanien.
Asmussen, S. (2013). Modeling and performance of Bonus-Malus Systems: Stationarity versus age-correction. T.N. Thiele Centre, Department of Mathematics, Aarhus University. Thiele Research Reports Nr. 05 http://math.au.dk/publs?publid=989
Andersen, K., Louveaux, Q. & Weismantel, R. (2010). Mixed-integer sets from two rows of two adjacent simplex bases. Mathematical Programming, 124/1-2, 455-480. https://doi.org/10.1007/s10107-010-0376-4
Andersen, K. & Weismantel, R. (2008). Mixed integer linear sets. SIAG/OPT Views-and-News, 19(2), 8-14.
Hansen, M. B., Jensen, J. L. & Lauritzen, S. L. (red.) (2001). Mini-proceedings: Second MaPhySto Workshop on Inverse Problems: Inverse Problems from a Statistical Perspective. MaPhySto, Aarhus University. Miscellanea Bind 21
Guillot, J.-C., Jensen, J. L., Jensen, A. & Holm-Jacobsen, B. (red.) (1999). Mini-proceedings: First MaPhySto Workshop on Inverse Problems: Inverse Problems in Stratified Media. MaPhySto, Aarhus University. Miscellanea Bind 13
Jacod, J., Li, Y., Mykland, P. A., Podolskij, M. & Vetter, M. (2009). Microstructure noise in the continuous case: The pre-averaging approach. Stochastic Processes and Their Applications, 119(7), 2249-2276. https://doi.org/10.1016/j.spa.2008.11.004
Barndorff-Nielsen, O. & Pedersen, J. (2010). Meta-Times and Extended Subordination. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.
Jensen, J. L. (2006). Maximum likelihood classifiers in microarray studies. Institut for Matematiske Fag, Aarhus Universitet. Research Report Bind 474
Asmussen, S. & Bladt, M. (2025). Matrix representations of Wiener-Hopf factorisations for Lévy processes. Journal of Applied Probability. Advance online publication. https://doi.org/10.1017/jpr.2024.112
Bladt, M., Asmussen, S. & Steffensen, M. (2020). Matrix representations of life insurance payments. European Actuarial Journal, 10(1), 29-67. https://doi.org/10.1007/s13385-019-00222-0
Asmussen, S. (2000). Matrix-analytic models and their analysis. Scandinavian Journal of Statistics, 27(2), 193-226.
Andersen, I. T. & Hahn, U. (2015). Matérn thinned Cox processes. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Nr. 08
Kiderlen, M. & Hörig, M. (2013). Matérn's hard core models of types I and II with arbitrary compact grains. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Nr. 05 http://math.au.dk/publs?publid=980
Asmussen, S., Lipsky, L. & Thompson, S. (2015). Markov Renewal Methods in Restart Problems in Complex Systems. T.N. Thiele Centre, Department of Mathematics, Aarhus University. Thiele Research Reports Nr. 01 http://math.au.dk/publs?publid=1034
Asmussen, S., Lipsky, L. & Thompson, S. (2015). Markov Renewal Methods in Restart Problems in Complex Systems. I M. Podolskij, R. Stelzer, S. Thorbjørnsen & D. A. E. Veraart (red.), The Fascination of Probability, Statistics and their Applications: In Honour of Ole E. Barndorff-Nielsen (s. 501-527). Springer. https://doi.org/10.1007/978-3-319-25826-3_23
Asmussen, S., Lipsky, L. & Thompson, S. (2015). 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.
Asmussen, S. & Hobolth, A. (2011). Markov bridges, bisection and variance reduction. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.
Asmussen, S. & Hobolth, A. (2012). Markov bridges, bisection and variance reduction. I L. Plaskota & H. Wozniakowski (red.), Monte Carlo and Quasi-Monte Carlo Methods 2010 (s. 3-22). Springer. https://doi.org/10.1007/978-3-642-27440-4_1
Asmussen, S. & Koole, G. (1993). Marked point processes as limits of Markovian arrival streams. J. Appl. Probab., 30(2), 368-372.
Nielsen, V. H., Thirstrup, J. P., Anistoroael, R., Guldbrandtsen, B., Labouriau, R., Christensen, K. & Fredholm, M. (2012). Mapping QTL for Fur Quality Traits in Mink (Neovison vison). Poster-session præsenteret på Plant and Animal Genome XX Conference, San Diego, CA, USA.
Labouriau, R. & Lundbye-Christensen, S. (2000). Luftvejsinfektioner hos kalve. I Proceedings of the Symposium i Anvendt Statistik (s. 66-77)
Asmussen, S. & Pihlsgård, M. (2007). Loss rates for Lévy processes with two reflecting barriers. Mathematics of Operations Research, 32, 308-321.
Labouriau, R. & Jensen, J. (2004). Locating and estimating the effects of a QTL by using mixtures of exponential dispersion models. I Proc. 9th Quantitative Trait Locus Mapping and Marker-Assisted Selection Workshop (s. 39)