Search results
Results: 345
Number of items: 345
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Heemskerk, M., & Mandjes, M. (2019). Exact asymptotics in an infinite-server system with overdispersed input. Operations Research Letters, 47(6), 513-520. https://doi.org/10.1016/j.orl.2019.09.003
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Frolkova, M., & Mandjes, M. (2019). A Bitcoin-inspired infinite-server model with a random fluid limit. Stochastic Models, 35(1), 1-32. https://doi.org/10.1080/15326349.2018.1559739
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Mandjes, M., & Robert, P. (2019). Introduction to special issue: The IFIP Performance 2018 conference. Queueing Systems, 91(3-4), 205-206. https://doi.org/10.1007/s11134-019-09607-0
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Bisewski, K., Crommelin, D., & Mandjes, M. (2019). Rare event simulation for steady-state probabilities via recurrency cycles. Chaos, 29(3), Article 033131. https://doi.org/10.1063/1.5080296
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Abhishek, A., Boon, M. A. A., & Mandjes, M. (2019). Generalized gap acceptance models for unsignalized intersections. Mathematical Methods of Operations Research, 89(3), 385-409. https://doi.org/10.1007/s00186-019-00662-0 -
Zhou, H., Dorsman, J. L., Snelder, M., Romph, de, E., & Mandjes, M. R. H. (2019). GPU-based Parallel Computing for Activity-based Travel Demand Models. In E. Shakshuki (Ed.), The 10th International Conference on Ambient Systems, Networks and Technologies (ANT 2019) / The 2nd International Conference on Emerging Data and Industry 4.0 (EDI40 2019) / Affiliated Workshops (Vol. 151, pp. 726-732). (Procedia Computer Science). Elsevier. https://doi.org/10.1016/j.procs.2019.04.097 -
Boxma, O. J., Cahen, E. J., Koops, D., & Mandjes, M. (2019). Linear Stochastic Fluid Networks: Rare-Event Simulation and Markov Modulation. Methodology and Computing in Applied Probability, 21(1), 125–153. https://doi.org/10.1007/s11009-018-9644-1 -
Ravner, L., Boxma, O., & Mandjes, M. (2019). Estimating the input of a Lévy-driven queue by Poisson sampling of the workload process. Bernoulli, 25(4B), 3734–3761. https://doi.org/10.3150/19-BEJ1109
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