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Results: 348
Number of items: 348
  • Gruntjes, P., & Mandjes, M. (2015). A correlated overflow model with a view towards applications in credit risk. International Journal of Operational Research, 24(2), 121-131. https://doi.org/10.1504/IJOR.2015.071490
  • Foss, S., Juneja, S., Mandjes, M. R. H., & Moka, S. B. (2015). Spatial Loss Systems: Exact Simulation and Rare Event Behavior. Performance Evaluation Review, 43(2), 3-6. https://doi.org/10.1145/2825236.2825238
  • Ellens, W., Mandjes, M., van den Berg, H., Worm, D., & Błaszczuk, S. (2015). Performance evaluation using periodic system-state measurements. Performance Evaluation, 93, 27-46. https://doi.org/10.1016/j.peva.2015.07.004
  • 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
    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].
  • 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
    Huang, G. (2015). Limit theorems for Markov-modulated and reflected diffusion processes. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
  • 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
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