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Results: 349
Number of items: 349
  • Open Access
    de Gunst, M., Knapik, B., Mandjes, M., & Sollie, B. (2019). Parameter estimation for a discretely observed population process under Markov-modulation. Computational Statistics and Data Analysis, 140, 88-103. https://doi.org/10.1016/j.csda.2019.06.008
  • Open Access
    Jansen, H. M. (2018). Scaling limits for modulated infinite-server queues and related stochastic processes. [Thesis, externally prepared, Universiteit van Amsterdam].
  • Cahen, E. J., Mandjes, M., & Zwart, B. (2018). Estimating Large Delay Probabilities in Two Correlated Queues. ACM Transactions on Modeling and Computer Simulation, 28(1), Article 2. https://doi.org/10.1145/3158667
  • Starreveld, N. J., Bekker, R., & Mandjes, M. (2018). Occupation times for the finite buffer fluid queue with phase-type ON-times. Operations Research Letters, 46(1), 27-32. https://doi.org/10.1016/j.orl.2017.10.012
  • Fiems, D., Mandjes, M., & Patch, B. (2018). Networks of infinite-server queues with multiplicative transitions. Performance Evaluation, 123-124, 35-49. https://doi.org/10.1016/j.peva.2018.03.003
  • Kuhn, J., Mandjes, M., & Taimre, T. (2018). Exact asymptotics of sample-mean related rare-event probabilities. Probability in the Engineering and Informational Sciences, 32(2), 207-228. https://doi.org/10.1017/S0269964816000541
  • Starreveld, N., Bekker, R., & Mandjes, M. (2018). Occupation times of alternating renewal processes with Lévy applications. Journal of Applied Probability, 55(4), 1287-1308. https://doi.org/10.1017/jpr.2018.86
  • Koops, D. T., Saxena, M., Boxma, O. J., & Mandjes, M. (2018). Infinite-server queues with Hawkes input. Journal of Applied Probability, 55(3), 920-943. https://doi.org/10.1017/jpr.2018.58
  • Garlaschelli, D., van der Hofstad, R., den Hollander, F., & Mandjes, M. (2018). Special Issue of Journal of Statistical Physics Devoted to Complex Networks. Journal of Statistical Physics, 173(3-4), 439-447. https://doi.org/10.1007/s10955-018-2166-y
  • Bisewski, K., Crommelin, D., & Mandjes, M. (2018). Controlling the time discretization bias for the supremum of brownian motion. ACM Transactions on Modeling and Computer Simulation, 28(3), Article 24. https://doi.org/10.1145/3177775
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