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Results: 345
Number of items: 345
  • Kosiński, K. M., & Mandjes, M. (2015). Logarithmic asymptotics for multidimensional extremes under nonlinear scalings. Journal of Applied Probability, 52(1), 68-81. https://doi.org/10.1239/jap/1429282607
  • Open Access
    Kuhn, J., Mandjes, M., & Nazarathy, Y. (2015). Exploration vs Exploitation with Partially Observable Gaussian Autoregressive Arms. EAI Endorsed Transactions on Self-Adaptive Systems, 15(4), Article e5. https://doi.org/10.4108/icst.valuetools.2014.258207
  • Open Access
    Kuhn, J., Mandjes, M., & Taimre, T. (2015). Mean Shift Detection for State Space Models. In T. Weber, M. J. McPhee, & R. S. Anderssen (Eds.), 21st International Congress on Modelling and Simulation: Broadbeach, Queensland, Australia from 29 November to 5 December 2015 (pp. 1703-1709). Australian National University : Modelling &​ Simulation Society of Australia &​ New Zealand. http://www.mssanz.org.au/modsim2015/J2/kuhn.pdf
  • Open Access
    Huang, G. (2015). Limit theorems for Markov-modulated and reflected diffusion processes. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Boxma, O., Kapodistria, S., & Mandjes, M. (2015). Performance analysis of stochastic networks. Nieuw Archief voor Wiskunde, 5/16(3), 193-200. http://www.nieuwarchief.nl/serie5/toonnummer.php?deel=16&nummer=3&taal=0
  • Open Access
    Ellens, W. (2015). Stochastic methods for measurement-based network control. [Thesis, fully internal, Universiteit van Amsterdam].
  • Asghari, N. M., Mandjes, M., & Walid, A. (2014). Energy-ecient scheduling in multi-core servers. Computer Networks, 59, 33-43. https://doi.org/10.1016/j.bjp.2013.12.009
  • Kuhn, J., Ellens, W., & Mandjes, M. (2014). Detecting Changes in the Scale of Dependent Gaussian Processes: A Large Deviations Approach. In B. Sericola, M. Telek, & G. Horváth (Eds.), Analytical and Stochastic Modeling Techniques and Applications: 21st International Conference, ASMTA 2014, Budapest, Hungary, June 30-July 2, 2014: proceedings (pp. 170-184). (Lecture Notes in Computer Science; Vol. 8499). Springer. https://doi.org/10.1007/978-3-319-08219-6_12
  • de Turck, K. E. E. S., & Mandjes, M. R. H. (2014). Large deviations of an infinite-server system with a linearly scaled background process. Performance Evaluation, 75-76, 36-49. https://doi.org/10.1016/j.peva.2014.01.001
  • Mata, F., Żuraniewski, P., Mandjes, M., & Mellia, M. (2014). Anomaly detection in diurnal data. Computer Networks, 60, 187-200. https://doi.org/10.1016/j.bjp.2013.11.011
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