Search results
Results: 348
Number of items: 348
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Kuiper, A., Mandjes, M., & de Mast, J. (2017). Optimal stationary appointment schedules. Operations Research Letters, 45(6), 549-555. https://doi.org/10.1016/j.orl.2017.08.002
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Leahu, H., Mandjes, M., & Oprescu, A.-M. (2017). A Numerical Approach to Stability of Multiclass Queueing Networks. IEEE Transactions on Automatic Control, 62(10), 5478-5484. https://doi.org/10.1109/TAC.2017.2699126
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Mandjes, M., Taylor, P. G., & De Turck, K. (2017). The Markov-modulated Erlang loss system. Performance Evaluation, 116, 53-69. https://doi.org/10.1016/j.peva.2017.08.005
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Heemskerk, M., van Leeuwaarden, J., & Mandjes, M. (2017). Scaling Limits for Infinite-server Systems in a Random Environment. Stochastic Systems, 7(1), 1-31. https://doi.org/10.1214/16-SSY214 -
den Boer, A. V., & Mandjes, M. (2017). Convergence rates of Laplace-transform based estimators. Bernoulli, 23(4A), 2533-2557. https://doi.org/10.3150/16-BEJ818 -
Mandjes, M., Patch, B., & Walton, N. S. (2017). Detecting Markov Chain Instability: a Monto Carlo approach. Stochastic Systems, 7(2), 289-314. https://doi.org/10.1287/stsy.2017.0003 -
Serra, P., & Mandjes, M. (2017). Dimension estimation using random connection models. Journal of Machine Learning Research, 18, Article 138. https://www.jmlr.org/papers/volume18/16-232/16-232.pdf -
Koops, D. T., Boxma, O. J., & Mandjes, M. R. H. (2017). Networks of · / G/ ∞ queues with shot-noise-driven arrival intensities. Queueing Systems, 86(3-4), 301-325. https://doi.org/10.1007/s11134-017-9520-7
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