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dhr. prof. dr. M.R.H. (Michel) Mandjes

Hoogleraar FNWI / Gasthoogleraar FEB
Faculteit Economie en Bedrijfskunde
Faculteit der Natuurwetenschappen, Wiskunde en Informatica
Fotograaf: Monique Onderwater

Bezoekadres
  • Science Park 105
  • Kamernummer: F3.37
Postadres
  • Postbus 94248
    1090 GE Amsterdam
  • Publicaties

    2019

    • Abhishek, A., Boon, M. A. A., Mandjes, M., & Núñez-Queija, R. (2019). Congestion analysis of unsignalized intersections: The impact of impatience and Markov platooning. European Journal of Operational Research, 273(3), 1026-1035. DOI: 10.1016/j.ejor.2018.09.049 [details]
    • Bisewski, K. L., Crommelin, D. T., & Mandjes, M. R. H. (2019). Simulation-based assessment of the stationary tail distribution of a stochastic differential equation. In Proceedings of the 2018 Winter Simulation Conference 2018
    • Delsing, G. A., Mandjes, M. R. H., Spreij, P. J. C., & Winands, E. M. M. (2019). An optimization approach to adaptive multi-dimensional capital management. Insurance: Mathematics and Economics, 84, 87-97. DOI: 10.1016/j.insmatheco.2018.10.001 [details]
    • 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. DOI: 10.1007/s11009-018-9644-1 [details]

    2018

    • Garlaschelli, D., van der Hofstad, R., den Hollander, F., & Mandjes, M. (2018). Special Issue of Journal of Statistical Physics Devoted to Complex Networks: Volume 173, Issue 3-4, November 2018. Journal of Statistical Physics, 173(3-4), 439-447. DOI: 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), [24]. DOI: 10.1145/3177775 [details]
    • Kuhn, J., Mandjes, M., & Taimre, T. (2018). Practical Aspects of False Alarm Control for Change Point Detection: Beyond Average Run Length. Methodology and Computing in Applied Probability, 1-18. DOI: 10.1007/s11009-018-9636-1
    • Moka, S. B., Juneja, S., & Mandjes, M. R. H. (2018). Analysis of perfect sampling methods for hard-sphere models. Performance Evaluation Review, 45(3), 69-75. DOI: 10.1145/3199524.3199536 [details]
    • 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), [2]. DOI: 10.1145/3158667 [details]
    • 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 [details]
    • 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. DOI: 10.1017/jpr.2018.58 [details]
    • Kuhn, J., & Mandjes, M. (2018). Efficient simulation of tail probabilities in a queueing model with heterogeneous servers. Stochastic Models, 34(2), 239-267. https://doi.org/10.1080/15326349.2018.1458629 [details]
    • 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 [details]
    • Mandjes, M., Starreveld, N. J., & Bekker, R. (2018). Queues on a Dynamically Evolving Graph. Journal of Statistical Physics, 173(3-4), 1124-1148. DOI: 10.1007/s10955-018-2036-7 [details]
    • 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. DOI: 10.1016/j.orl.2017.10.012 [details]
    • Starreveld, N., Bekker, R., & Mandjes, M. (2018). Occupation times of alternating renewal processes with Lévy applications. Journal of Applied Probability, 55(4), 1287-1308. DOI: 10.1017/jpr.2018.86 [details]
    • den Hollander, F., Mandjes, M., Roccaverde, A., & Starreveld, N. J. (2018). Ensemble equivalence for dense graphs. ELECTRONIC JOURNAL OF PROBABILITY, 23, [12]. DOI: 10.1214/18-EJP135 [details]

    2017

    • Kuiper, A., Mandjes, M., & de Mast, J. (2017). Optimal stationary appointment schedules. Operations Research Letters, 45(6), 549-555. DOI: 10.1016/j.orl.2017.08.002 [details]
    • 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. DOI: 10.1109/TAC.2017.2699126 [details]
    • Heemskerk, M., Kuhn, J., & Mandjes, M. (2017). Rare-event analysis of mixed Poisson random variables, and applications in staffing. Performance Evaluation, 114, 56-77. https://doi.org/10.1016/j.peva.2017.03.006 [details]
    • Blom, J., De Turck, K., & Mandjes, M. (2017). Refined large deviations asymptotics for Markov-modulated infinite-server systems. European Journal of Operational Research, 259(3), 1036-1044. DOI: 10.1016/j.ejor.2016.10.050 [details]
    • Jansen, H. M., Mandjes, M., De Turck, K., & Wittevrongel, S. (2017). Rare-event analysis of modulated Ornstein-Uhlenbeck processes. Performance Evaluation, 112, 1-14. https://doi.org/10.1016/j.peva.2017.02.002 [details]
    • Heemskerk, J. M. A., van Leeuwaarden, J., & Mandjes, M. R. H. (2017). Scaling Limits for Infinite-server Systems in a Random Environment. Stochastic Systems, 7(1), 1-31. DOI: 10.1214/16-SSY214
    • 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. DOI: 10.1007/s11134-017-9520-7 [details]
    • 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 [details]
    • Mandjes, M., & Spreij, P. (2017). A note on the central limit theorem for the idleness process in a one-sided reflected Ornstein–Uhlenbeck model. Statistica Neerlandica, 71(3), 225-235. DOI: 10.1111/stan.12108 [details]
    • den Boer, A. V., & Mandjes, M. (2017). Convergence rates of Laplace-transform based estimators. Bernoulli, 23(4A), 2533-2557. DOI: 10.3150/16-BEJ818 [details]
    • Cahen, E. J., Mandjes, M., & Zwart, B. (2017). Rare event analysis and efficient simulation for a multidimensional ruin problem. Probability in the Engineering and Informational Sciences, 31(3), 265-283. https://doi.org/10.1017/S0269964816000553 [details]
    • Dȩbicki, K., Liu, P., Mandjes, M. R. H., & Sierpińska-Tułacz, I. (2017). Lévy-driven GPS queues with heavy-tailed input. Queueing Systems, 85(3-4), 249-267. https://doi.org/10.1007/s11134-016-9510-1

    2016

    • Abhishek, Mandjes, M., Boon, M., & Núñez-Queija , R. (2016). Congestion analysis of unsignalized intersections. In 2016 8th International Conference on Communication Systems and Networks (COMSNETS) Piscataway, NJ : IEEE. DOI: 10.1109/COMSNETS.2016.7439951 [details]
    • Asghari, N. M., & Mandjes, M. (2016). Transform-based evaluation of prices and Greeks of lookback options driven by Lévy processes. Journal of Computational Finance, 20(2), 67-100. DOI: 10.21314/JCF.2016.315 [details]
    • Huang, G., Jansen, H. M., Mandjes, M., Spreij, P., & De Turck, K. (2016). Markov-modulated Ornstein-Uhlenbeck processes. Advances in Applied Probability, 48(1), 235-254. DOI: 10.1017/apr.2015.15 [details]
    • Huang, G., Mandjes, M., & Spreij, P. (2016). Large deviations for Markov-modulated diffusion processes with rapid switching. Stochastic Processes and their Applications, 126(6), 1785-1818. DOI: 10.1016/j.spa.2015.12.005 [details]
    • Jansen, H. M., Mandjes, M. R. H., De Turck, K., & Wittevrongel, S. (2016). A large deviations principle for infinite-server queues in a random environment. Queueing Systems, 82(1), 199-235. https://doi.org/10.1007/s11134-015-9470-x [details]
    • Koops, D. T., Boxma, O. J., & Mandjes, M. R. H. (2016). A tandem fluid network with Lévy input in heavy traffic. Queueing Systems, 84(3), 355-379. https://doi.org/10.1007/s11134-016-9500-3 [details]
    • Kuhn, J., Mandjes, M., & Taimre, T. (2016). Anomaly identification with limited sampling budget. IEEE Conference Proceedings, 216-220. DOI: 10.1109/ITW.2016.7606827 [details]
    • Mandjes, M., & Taylor, P. (2016). The Running Maximum of a Level-Dependent Quasi-Birth-Death Process. Probability in the Engineering and Informational Sciences, 30(2), 212-223. https://doi.org/10.1017/S026996481500039X [details]
    • Mandjes, M., & De Turck, K. (2016). Markov-modulated infinite-server queues driven by a common background process. Stochastic Models, 32(2), 206-232. https://doi.org/10.1080/15326349.2015.1100085 [details]
    • Mandjes, M., & Spreij, P. (2016). Explicit Computations for Some Markov Modulated Counting Processes. In J. Kallsen, & A. Papapantoleon (Eds.), Advanced Modelling in Mathematical Finance: In Honour of Ernst Eberlein (pp. 63-89). (Springer Proceedings in Mathematics & Statistics; Vol. 189). Cham: Springer. DOI: 10.1007/978-3-319-45875-5_3 [details]
    • Starreveld, N. J., Bekker, R., & Mandjes, M. (2016). Transient analysis of one-sided Lévy-driven queues. Stochastic Models, 32(3), 481-512. https://doi.org/10.1080/15326349.2016.1170615 [details]
    • Anderson, D., Blom, J., Mandjes, M., Thorsdottir, H., & de Turck, K. (2016). A Functional Central Limit Theorem for a Markov-Modulated Infinite-Server Queue. Methodology and Computing in Applied Probability, 18(1), 153-168. DOI: 10.1007/s11009-014-9405-8 [details]
    • Blom, J., De Turck, K., & Mandjes, M. (2016). Functional central limit theorems for Markov-modulated infinite-server systems. Mathematical Methods of Operations Research, 83(3), 351-372. DOI: 10.1007/s00186-016-0531-7 [details]
    • Boxma, O., Mandjes, M., & Reed, J. (2016). On a class of reflected AR(1) processes. Journal of Applied Probability, 53(3), 818-832. DOI: 10.1017/jpr.2016.42 [details]
    • Lu, H., Pang, G., & Mandjes, M. (2016). A functional central limit theorem for Markov additive arrival processes and its applications to queueing systems. Queueing Systems, 84(3), 381-406. https://doi.org/10.1007/s11134-016-9496-8 [details]
    • Pokhrel, S. R., Panda, M., Vu, H. L., & Mandjes, M. (2016). TCP Performance over Wi-Fi: Joint Impact of Buffer and Channel Losses. IEEE Transactions on Mobile Computing, 15(5), 1279-1291. DOI: 10.1109/TMC.2015.2456883 [details]

    2015

    • Asghari, N. M., Dębicki, K., & Mandjes, M. (2015). Exact tail asymptotics of the supremum attained by a Lévy process. Statistics & Probability Letters, 96(2015), 180-184. DOI: 10.1016/j.spl.2014.09.005 [details]
    • Ellens, W., Mandjes, M., van den Berg, H., Worm, D., & Błaszczukc, S. (2015). Performance evaluation using periodic system-state measurements. Performance Evaluation, 93, 27-46. https://doi.org/10.1016/j.peva.2015.07.004 [details]
    • 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. DOI: 10.1504/IJOR.2015.071490 [details]
    • Jansen, H. M., Mandjes, M. R. H., De Turck, K., & Wittevrongel, S. (2015). On the upper bound in Varadhan’s Lemma. Statistics & Probability Letters, 103, 24-29. DOI: 10.1016/j.spl.2015.04.005 [details]
    • Kosiński, K. M., & Mandjes, M. (2015). Logarithmic asymptotics for multidimensional extremes under nonlinear scalings. Journal of Applied Probability, 52(1), 68-81. DOI: 10.1239/jap/1429282607 [details]
    • 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), [e5]. DOI: 10.4108/icst.valuetools.2014.258207 [details]
    • 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). Canberra: Australian National University : Modelling &​ Simulation Society of Australia &​ New Zealand. [details]
    • Kuiper, A., & Mandjes, M. (2015). Appointment scheduling in tandem-type service systems. Omega, 57(B), 145-156. DOI: 10.1016/j.omega.2015.04.009 [details]
    • Kuiper, A., & Mandjes, M. (2015). Practical principles in appointment scheduling. Quality and Reliability Engineering International, 31(7), 1127-1135. DOI: 10.1002/qre.1863 [details]
    • Kuiper, A., Kemper, B., & Mandjes, M. (2015). A computational approach to optimized appointment scheduling. Queueing Systems, 79(1), 5-36. https://doi.org/10.1007/s11134-014-9398-6 [details]
    • Blom, J., De Turck, K., & Mandjes, M. (2015). Analysis of Markov-modulated Infinite-server Queues in the Central-limit Regime. Probability in the Engineering and Informational Sciences, 29(3), 433-459. https://doi.org/10.1017/S026996481500008X [details]
    • Botev, Z. I., Mandjes, M., & Ridder, A. (2015). Tail distribution of the maximum of correlated Gaussian random variables. In L. Yilmaz, W. K. V. Chan, I. Moon, T. M. K. Roeder, C. Macal, & M. D. Rossetti (Eds.), Proceedings of the 2015 Winter Simulation Conference: December 6-9, 2015, Huntington Beach, CA (pp. 633-642). Piscataway, NJ: IEEE. DOI: 10.1109/WSC.2015.7408202 [details]
    • Dębicki, K., & Mandjes, M. (2015). Queues and Lévy Fluctuation Theory. (Universitext). Cham: Springer. DOI: 10.1007/978-3-319-20693-6 [details]
    • 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. DOI: 10.1145/2825236.2825238 [details]
    • Ivanovs, J., & Mandjes, M. (2015). Transient analysis of a stationary Lévy-driven queue. Statistics & Probability Letters, 107, 341-347. DOI: 10.1016/j.spl.2015.09.010 [details]
    • Panda, M., Vu, H. L., Mandjes, M., & Pokhrel, S. R. (2015). Performance Analysis of TCP NewReno over a Cellular Last-Mile: Buffer and Channel Losses. IEEE Transactions on Mobile Computing, 14(8), 1629-1643. DOI: 10.1109/TMC.2014.2354040 [details]

    2014

    • Asghari, N. M., den Iseger, P., & Mandjes, M. (2014). Numerical Techniques in Lévy Fluctuation Theory. Methodology and Computing in Applied Probability, 16(1), 31-52. DOI: 10.1007/s11009-012-9296-5 [details]
    • 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 [details]
    • Ellens, W., Mandjes, M., Worm, D., & van den Berg, H. (2014). The effectiveness of throughput sampling for capacity management: a queueing approach. In A. Jamalipour, & D-J. Deng (Eds.), 2014 IEEE International Conference on Communications (ICC) (pp. 1197-1203). Piscataway, NJ: IEEE. DOI: 10.1109/ICC.2014.6883484 [details]
    • Huang, G., Mandjes, M., & Spreij, P. (2014). Limit theorems for reflected Ornstein-Uhlenbeck processes. Statistica Neerlandica, 68(1), 25-42. https://doi.org/10.1111/stan.12021 [details]
    • Huang, G., Mandjes, M., & Spreij, P. (2014). Weak convergence of Markov-modulated diffusion processes with rapid switching. Statistics & Probability Letters, 86, 74-79. DOI: 10.1016/j.spl.2013.12.013 [details]
    • Kemper, B., Klaassen, C. A. J., & Mandjes, M. (2014). Optimized appointment scheduling. European Journal of Operational Research, 239(1), 243-255. DOI: 10.1016/j.ejor.2014.05.027 [details]
    • 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). Cham: Springer. DOI: 10.1007/978-3-319-08219-6_12 [details]
    • Mandjes, M. (2014). Generalized birthday problems in the large-deviations regime. Probability in the Engineering and Informational Sciences, 28(1), 83-99. https://doi.org/10.1017/S026996481300034X [details]
    • 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 [details]
    • 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 [details]
    • van Beek, M., Mandjes, M., Spreij, P., & Winands, E. (2014). Markov switching affine processes and applications to pricing. In M. Vanmaele, G. Deelstra, A. De Schepper, J. Dhaene, W. Schoutens, S. Vanduffel, & D. Vyncke (Eds.), Actuarial and Financial Mathematics Conference, Interplay between Finance and Insurance: February 6-7, 2014 (pp. 97-102). Brussel, België: Koninklijke Vlaamse Academie van België voor Wetenschappen en Kunsten. [details]
    • Arendarczyk, M., Dȩbicki, K., & Mandjes, M. (2014). On the tail asymptotics of the area swept under the Brownian storage graph. Bernoulli, 20(2), 395-415. DOI: 10.3150/12-BEJ491 [details]
    • Blom, J., Kella, O., Mandjes, M., & Thorsdottir, H. (2014). Markov-modulated infinite-server queues with general service times. Queueing Systems, 76(4), 403-424. https://doi.org/10.1007/s11134-013-9368-4 [details]
    • Blom, J., De Turck, K., Kella, O., & Mandjes, M. (2014). Tail asymptotics of a Markov-modulated infinite-server queue. Queueing Systems, 78(4), 337-357. https://doi.org/10.1007/s11134-014-9412-z [details]

    2013

    • Asghari, N. M., Mandjes, M., & Walid, A. (2013). Optimizing energy management in multi-core servers. Performance Evaluation Review, 41(2), 38-40. DOI: 10.1145/2518025.2518031 [details]
    • Ellens, W., Żuraniewski, P., Sperotto, A., Schotanus, H., Mandjes, M., & Meeuwissen, E. (2013). Flow-Based Detection of DNS Tunnels. In G. Doyen, M. Waldburger, P. Čeleda, A. Sperotto, & B. Stiller (Eds.), Emerging Management Mechanisms for the Future Internet: 7th IFIP WG 6.6 international conference on autonomous infrastructure management, and security, AIMS 2013, Barcelona, Spain, June 25-28, 2013, proceedings (pp. 124-135). (Lecture Notes in Computer Science; Vol. 7943). Heidelberg: Springer. DOI: 10.1007/978-3-642-38998-6_16 [details]
    • Es-Saghouani, A., & Mandjes, M. (2013). Exact multivariate workload asymptotics. Mathematical Methods of Operations Research, 78(3), 405-415. DOI: 10.1007/s00186-013-0450-9 [details]
    • Koot, M., Mandjes, M., van 't Noordende, G., & de Laat, C. (2013). A probabilistic perspective on re-identifiability. Mathematical Population Studies, 20(3), 155-171. DOI: 10.1080/08898480.2013.816222 [details]
    • Mandjes, M., & Żuraniewski, P. (2013). Changepoint Detection Techniques for VoIP Traffic. In E. Biersack, C. Callegari, & M. Matijasevic (Eds.), Data traffic monitoring and analysis (pp. 184-201). (Lecture Notes in Computer Science; No. 7754). Berlin: Springer. DOI: 10.1007/978-3-642-36784-7_8 [details]
    • Żuraniewski, P., Mandjes, M., van den Berg, H., & Malhotra, R. (2013). Resource Allocation in a Multiple-Priority Buffered Link. In A. Dudin, & K. De Turck (Eds.), Analytical and Stochastic Modeling Techniques and Applications: 20th International Conference, ASMTA 2013, Ghent, Belgium, July 8-10, 2013 : proceedings (pp. 457-471). (Lecture Notes in Computer Science; Vol. 7984). Heidelberg: Springer. DOI: 10.1007/978-3-642-39408-9_32 [details]
    • Blanchet, J., & Mandjes, M. (2013). Asymptotics of the area under the graph of a Lévy-driven workload process. Operations Research Letters, 41(6), 730-736. DOI: 10.1016/j.orl.2013.10.004 [details]
    • Blom, J., & Mandjes, M. (2013). A large-deviations analysis of Markov-modulated infinite-server queues. Operations Research Letters, 41(3), 220-225. DOI: 10.1016/j.orl.2013.01.009 [details]
    • Blom, J., De Turck, K., & Mandjes, M. (2013). A Central Limit Theorem for Markov-Modulated Infinite-Server Queues. In A. Dudin, & K. De Turck (Eds.), Analytical and Stochastic Modeling Techniques and Applications: 20th International Conference, ASMTA 2013, Ghent, Belgium, July 8-10, 2013 : proceedings (pp. 81-95). (Lecture Notes in Computer Science; Vol. 7984). Heidelberg: Springer. DOI: 10.1007/978-3-642-39408-9_7 [details]
    • Blom, J., De Turck, K., & Mandjes, M. (2013). Rare Event Analysis of Markov-Modulated Infinite-Server Queues: A Poisson Limit. Stochastic Models, 29(4), 463-474. https://doi.org/10.1080/15326349.2013.838511 [details]
    • Blom, J., Mandjes, M., & Thorsdottir, H. (2013). Time-Scaling Limits for Markov-Modulated Infinite-Server Queues. Stochastic Models, 29(1), 112-127. https://doi.org/10.1080/15326349.2013.750536 [details]
    • Callegari, C., Coluccia, A., D'Alconzo, A., Ellens, W., Giordano, S., Mandjes, M., ... Żuraniewski, P. (2013). A Methodological Overview on Anomaly Detection. In E. Biersack, C. Callegari, & M. Matijasevic (Eds.), Data traffic monitoring and analysis: from measurement, classification, and anomaly detection to quality of experience (pp. 148-183). (Lecture Notes in Computer Science; No. 7754). Berlin: Springer. DOI: 10.1007/978-3-642-36784-7_7 [details]
    • Dȩbicki, K., Mandjes, M., & Sierpińska-Tułacza, I. (2013). Transient analysis of Lévy-driven tandem queues. Statistics & Probability Letters, 83(7), 1776-1781. DOI: 10.1016/j.spl.2013.03.028 [details]
    • Juneja, S., & Mandjes, M. (2013). Overlap problems on the circle. Advances in Applied Probability, 45(3), 773-790. DOI: 10.1017/S0001867800006571 [details]
    • Kaynar, B., & Mandjes, M. (2013). Estimation of the workload correlation in a Markov fluid queue. Queueing Systems, 73(4), 407-424. https://doi.org/10.1007/s11134-013-9352-z [details]
    • Kella, O., & Mandjes, M. (2013). Transient analysis of reflected Lévy processes. Statistics & Probability Letters, 83(10), 2308-2315. DOI: 10.1016/j.spl.2013.06.008 [details]
    • den Iseger, P., Gruntjes, P., & Mandjes, M. (2013). A Wiener-Hopf based approach to numerical computations in fluctuation theory for Lévy processes. Mathematical Methods of Operations Research, 78(1), 101-118. DOI: 10.1007/s00186-013-0434-9 [details]

    2012

    2011

    • Dieker, A. B., & Mandjes, M. (2011). Extremes of Markov-additive processes with one-sided jumps, with queueing applications. Methodology and Computing in Applied Probability, 13(2), 221-267. DOI: 10.1007/s11009-009-9140-8 [details]
    • Es-Saghouani, A., & Mandjes, M. (2011). Transient analysis of Markov-fluid-driven queues. Top : An Official Journal of the Spanish Society of Statistics and Operations Research, 19(1), 35-53. DOI: 10.1007/s11750-009-0078-3 [details]
    • Koot, M. R., Mandjes, M., van 't Noordende, G., & de Laat, C. (2011). Efficient probabilistic estimation of quasi-identifier uniqueness. In Proceedings of ICT.OPEN 2011: 14-15 November 2011, Veldhoven, The Netherlands (pp. 119-126). Utrecht: STW Technology Foundation. [details]
    • Leijdekker, V. J. G., Mandjes, M. R. H., & Spreij, P. J. C. (2011). Sample-path large deviations in credit risk. Journal of applied mathematics, 2011. DOI: 10.1155/2011/354171 [details]
    • Mandjes, M. (2011). Queueing Networks with Gaussian Inputs. In R. J. Boucherie, & N. M. van Dijk (Eds.), Queueing networks: a fundamental approach (pp. 531-560). (International series in operations research & management science; No. 154). New York: Springer. DOI: 10.1007/978-1-4419-6472-4_12 [details]
    • Mandjes, M., & Żuraniewski, P. (2011). M/G/∞ transience, and its applications to overload detection. Performance Evaluation, 68(6), 507-527. https://doi.org/10.1016/j.peva.2011.01.008 [details]
    • Mandjes, M., & Żuraniewski, P. (2011). Tail asymptotics of the M/G/∞ model. Stochastic Models, 27(1), 77-93. https://doi.org/10.1080/15326349.2011.542730 [details]
    • Walton, N. S., & Mandjes, M. R. H. (2011). A stability conjecture on bandwidth sharing networks. Queueing Systems, 68(3-4), 237-250. https://doi.org/10.1007/s11134-011-9233-2 [details]
    • de Mast, J., Kemper, B., Does, R. J. M. M., Mandjes, M., & van der Bijl, Y. (2011). Process improvement in healthcare: Overall resource efficiency. Quality and Reliability Engineering International, 27(8), 1095-1106. DOI: 10.1002/qre.1198 [details]
    • Al Hanbali, A., Mandjes, M., Nazarathy, Y., & Whitt, W. (2011). The asymptotic variance of departures in critically loaded queues. Advances in Applied Probability, 43(1), 243-263. DOI: 10.1239/aap/1300198521 [details]
    • Blom, J., & Mandjes, M. (2011). Traffic generated by a semi-Markov additive process. Probability in the Engineering and Informational Sciences, 25(01), 21-27. https://doi.org/10.1017/S0269964810000227 [details]
    • Boxma, O., Ivanovs, J., Kosiński, K. M., & Mandjes, M. (2011). Lévy-driven polling systems and continuous-state branching processes. Stochastic Systems, 1(2), 411-436. DOI: 10.1214/10-SSY008 [details]
    • Dȩbicki, K., & Mandjes, M. (2011). Open problems in Gaussian fluid queueing theory. Queueing Systems, 68(3-4), 267-273. https://doi.org/10.1007/s11134-011-9237-y [details]
    • Glynn, P. W., & Mandjes, M. (2011). Simulation-based computation of the workload correlation function in a Lévy-driven queue. Journal of Applied Probability, 48(1), 114-130. DOI: 10.1239/jap/1300198139 [details]
    • Lilienthal, S., & Mandjes, M. (2011). Flow-level models for multipath routing. Performance Evaluation, 68(7), 551-574. https://doi.org/10.1016/j.peva.2010.10.002 [details]
    • Miretskiy, D. I., Scheinhardt, W. R. W., & Mandjes, M. R. H. (2011). State-dependent importance sampling for a slowdown tandem queue. Annals of Operations Research, 189(1), 299-329. DOI: 10.1007/s10479-010-0823-x [details]

    2010

    • Ivanovs, J., Boxma, O., & Mandjes, M. (2010). Singularities of the matrix exponent of a Markov additive process with one-sided jumps. Stochastic Processes and their Applications, 120(9), 1776-1794. DOI: 10.1016/j.spa.2010.05.007 [details]
    • Ivanovs, J., & Mandjes, M. (2010). First passage of time-reversible spectrally negative Markov additive processes. Operations Research Letters, 38(2), 77-81. DOI: 10.1016/j.orl.2009.10.014 [details]
    • Kemper, B., de Mast, J., & Mandjes, M. (2010). Modeling process flow using diagrams. Quality and Reliability Engineering International, 26(4), 341-349. DOI: 10.1002/qre.1061 [details]
    • Roijers, F., van den Berg, H., & Mandjes, M. (2010). Performance analysis of differentiated resource-sharing in a wireless ad-hoc network. Performance Evaluation, 67(7), 528-547. https://doi.org/10.1016/j.peva.2010.01.005 [details]
    • Żuraniewski, P., Mandjes, M., & Mellia, M. (2010). Empirical assessment of VoIP overload detection tests. In 6th EURO-NF Conference on Next Generation Internet (NGI 2010), Paris, France Piscataway, NJ: IEEE. DOI: 10.1109/NGI.2010.5534457 [details]
    • Boxma, O., Kella, O., & Mandjes, M. (2010). On a generic class of Lévy-driven vacation models. Probability in the Engineering and Informational Sciences, 24(01), 1-12. https://doi.org/10.1017/S0269964809990106 [details]
    • Dębicki, K., Es-Saghouani, A., & Mandjes, M. (2010). Transient asymptotics of Lévy-driven queues. Journal of Applied Probability, 47(1), 109-129. DOI: 10.1239/jap/1269610820 [details]
    • Dębicki, K., Kosiński, K. M., Mandjes, M., & Rolski, T. (2010). Extremes of multidimensional Gaussian processes. Stochastic Processes and their Applications, 120(12), 2289-2301. DOI: 10.1016/j.spa.2010.08.010 [details]
    • Kella, O., Boxma, O., & Mandjes, M. (2010). On Lévy-driven vacation models with correlated busy periods and service interruptions. Queueing Systems, 64(4), 359-382. https://doi.org/10.1007/s11134-010-9166-1 [details]
    • Malhotra, R., Mandjes, M., Scheinhardt, W., & van den Berg, H. (2010). Design issues of a back-pressure-based congestion control mechanism. AEÜ International Journal of Electronics and Communications, 64(8), 717-728. DOI: 10.1016/j.aeue.2009.05.003 [details]
    • Miretskiy, D., Scheinhardt, W., & Mandjes, M. (2010). State-dependent importance sampling for a Jackson tandem network. ACM Transactions on Modeling and Computer Simulation, 20(3), 15. DOI: 10.1145/1842713.1842718 [details]

    2009

    • Adan, I., Mandjes, M., Scheinhardt, W., & Tzenova, E. (2009). On a generic class of two-node queueing systems. Queueing Systems, 61(1), 37-63. https://doi.org/10.1007/s11134-008-9099-0 [details]
    • Es-Saghouani, A., & Mandjes, M. (2009). On the dependence structure of Gaussian queues. Stochastic Models, 25(2), 221-247. https://doi.org/10.1080/15326340902869887 [details]
    • Mandjes, M., & van de Meent, R. (2009). Resource dimensioning through buffer sampling. IEEE/ACM Transactions on Networking, 17(5), 1631-1644. DOI: 10.1109/TNET.2008.2009989 [details]
    • Mandjes, M., Norros, I., & Glynn, P. (2009). On convergence to stationarity of fractional Brownian storage. The Annals of Applied Probability, 19(4), 1385-1403. DOI: 10.1214/08-AAP578 [details]
    • Mandjes, M., & Roijers, F. (2009). M/M/∞ transience: Tail asymptotics of congestion periods. Stochastic Models, 25(4), 614-647. https://doi.org/10.1080/15326340903291289 [details]
    • Mandjes, M., & Żuraniewski, P. (2009). A queueing-based approach to overload detection. Lecture Notes in Computer Science, 5894, 91-106. DOI: 10.1007/978-3-642-10406-0_7 [details]
    • Andersen, L. N., & Mandjes, M. (2009). Structural properties of reflected Lévy processes. Queueing Systems, 63(1-4), 301-322. https://doi.org/10.1007/s11134-009-9116-y [details]
    • Ayesta, U., & Mandjes, M. (2009). Bandwidth-sharing networks under a diffusion scaling. Annals of Operations Research, 170(1), 41-58. DOI: 10.1007/s10479-008-0426-y [details]
    • Bekker, R., & Mandjes, M. (2009). A fluid model for a relay node in an ad hoc network: the case of heavy-tailed input. Mathematical Methods of Operations Research, 70(2), 357-384. DOI: 10.1007/s00186-008-0272-3 [details]
    • Blanchet, J., & Mandjes, M. (2009). Rare event simulation for queues. In G. Rubino, & B. Tuffin (Eds.), Rare event simulation using Monte Carlo methods (pp. 87-124). Chichester: Wiley. DOI: 10.1002/9780470745403.ch5 [details]
    • Dębicki, K., Es-Saghouani, A., & Mandjes, M. (2009). Transient characteristics of Gaussian queues. Queueing Systems, 62(4), 383-409. https://doi.org/10.1007/s11134-009-9120-2 [details]
    • Glynn, P. W., & Mandjes, M. (2009). Simulation-based computation of the workload correlation function in a Lévy-driven queue. In M. D. Rosseni, R. R. Hill, B. Johansson, A. Dunkin, & R. G. Ingalls (Eds.), Proceedings of the 2009 Winter Simulation Conference (WSC 2009) (pp. 1155-1166). IEEE. DOI: 10.1109/WSC.2009.5429414 [details]
    • Göbel, J., Krzesinski, A., & Mandjes, M. (2009). Incentive-based control of ad hoc networks: A performance study. Computer Networks, 53(14), 2427-2443. https://doi.org/10.1016/j.comnet.2009.04.010 [details]
    • L'Ecuyer, P., Mandjes, M., & Tuffin, B. (2009). Importance sampling in rare event simulation. In G. Rubino, & B. Tuffin (Eds.), Rare event simulation using Monte Carlo methods (pp. 17-38). Chichester: Wiley. DOI: 10.1002/9780470745403.ch2 [details]
    • Malhotra, R., Mandjes, M. R. H., Scheinhardt, W. R. W., & van den Berg, J. L. (2009). A feedback fluid queue with two congestion control thresholds. Mathematical Methods of Operations Research, 70(1), 149-169. DOI: 10.1007/s00186-008-0235-8 [details]
    • Miretskiy, D. I., Scheinhardt, W. R. W., & Mandjes, M. R. H. (2009). Backpressure-based control protocols: Design and computational aspects. IEEE Conference Proceedings. [details]
    • Miretskiy, D., Scheinhardt, W., & Mandjes, M. (2009). An efficient multilevel splitting scheme. In S. M. Ermakov, V. B. Melas, & A. N. Pepelyshev (Eds.), Proceedings of the 6th St. Petersburg Workshop on Simulation: St. Petersburg, June 28-July 4, 2009: Volume II (pp. 909-914). St. Petersburg: VVM com. [details]
    • Miretskiy, D., Scheinhardt, W., & Mandjes, M. (2009). Rare-event simulation for tandem queues: A simple and efficient importance sampling scheme. Lecture Notes in Computer Science, 5894, 107-120. DOI: 10.1007/978-3-642-10406-0_8 [details]
    • Pras, A., Nieuwenhuis, L., van de Meent, R., & Mandjes, M. (2009). Dimensioning network links: A new look at equivalent bandwidth. IEEE Network, 23(2), 5-10. DOI: 10.1109/MNET.2009.4804330 [details]
    • Timmer, J., & Mandjes, M. (2009). Efficiency of repeated network interactions. AEÜ International Journal of Electronics and Communications, 63(4), 271-278. DOI: 10.1016/j.aeue.2008.01.014 [details]

    2008

    • Es-Saghouani, A., & Mandjes, M. (2008). On the correlation structure of a Lévy-driven queue. Journal of Applied Probability, 45(4), 940-952. DOI: 10.1239/jap/1231340225 [details]
    • Lieshout, P., & Mandjes, M. (2008). A note on the delay distribution in GPS. Operations Research Letters, 36(1), 117-122. DOI: 10.1016/j.orl.2007.04.012 [details]
    • Lieshout, P., & Mandjes, M. (2008). Asymptotic analysis of Lévy-driven tandem queues. Queueing Systems, 60(3-4), 203-226. https://doi.org/10.1007/s11134-008-9094-5 [details]
    • Lieshout, P., & Mandjes, M. (2008). Generalized processor sharing: Characterization of the admissible region and selection of optimal weights. Computers & Operations Research, 35(8), 2497-2519. DOI: 10.1016/j.cor.2006.12.028 [details]
    • Lieshout, P., & Mandjes, M. (2008). Importance sampling in rate-sharing networks. In Proceedings of the 1st International Conference on Simulation Tools and Techniques for Communications, Networks and Systems & workshops (pp. 24). Brussels: Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (ICST). [details]
    • Mandjes, M. R. H., & Scheinhardt, W. (2008). A fluid model for a relay node in an ad hoc network: Evaluation of resource sharing policies. Journal of Applied Mathematics and Stochastic Analysis, 2008, 518214. DOI: 10.1155/2008/518214 [details]
    • Mandjes, M., & Ramakrishnan, M. (2008). Bandwidth trading under misaligned objectives: decentralized, measurement-based control. Computer Networks, 52(3), 475-492. https://doi.org/10.1016/j.comnet.2007.08.009 [details]
    • Boxma, O., Mandjes, M., & Kella, O. (2008). On a queuing model with service interruptions. Probability in the Engineering and Informational Sciences, 22(04), 537-555. https://doi.org/10.1017/S0269964808000326 [details]
    • Miretskiy, D. I., Scheinhardt, W. R. W., & Mandjes, M. R. H. (2008). Simple and efficient importance sampling scheme for a tandem queue with server slow-down. In Proceedings of the seventh International Workshop on Rare Event Simulation (RESIM 2008) (pp. 38-50). Rennes: INRIA. [details]
    • Miretskiy, D. I., Scheinhardt, W. R. W., & Mandjes, M. R. H. (2008). Simulation of a Jackson tandem network using state-dependent importance sampling. In Proceedings of the 3rd International Conference on Performance Evaluation Methodologies and Tools (pp. 14). Brussels: ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering). DOI: 10.4108/ICST.VALUETOOLS2008.4370 [details]

    2007

    • Lieshout, P. M. D., & Mandjes, M. R. H. (2007). Tandem Brownian queues. Mathematical Methods of Operations Research, 66(2), 275-298. DOI: 10.1007/s00186-007-0149-x [details]
    • Mandjes, M. R. H. (2007). Large Deviations for Gaussian Queues (Modelling Communication Networks). Chichester, UK: Wiley. [details]
    • Mandjes, M. R. H. (2007). Communication Networks - Analysis of jitter due to call-level fluctuations. European Transactions on Telecommunications, 18(1), 97-108. DOI: 10.1002/ett.1109 [details]
    • Mandjes, M. R. H., & Timmer, J. (2007). A duopoly model with heterogeneous congestion-sensitive customers. European Journal of Operational Research, 176(1), 445-467. DOI: 10.1016/j.ejor.2005.08.010 [details]
    • Mandjes, M. R. H., Mannersalo, P., & Norros, I. (2007). Gaussian tandem queues with an application to dimensioning of switch fabric interfaces. Computer Networks, 51(3), 781-797. https://doi.org/10.1016/j.comnet.2006.06.006 [details]
    • Mandjes, M. R. H., & Roijers, F. (2007). A fluid system with coupled input and output, and its application to bottlenecks in ad hoc networks. Queueing Systems, 56(2), 79-92. https://doi.org/10.1007/s11134-007-9034-9 [details]
    • Roijers, F., van den Berg, H., & Mandjes, M. R. H. (2007). Fluid-Flow Modeling of a Relay Node in an IEEE 802.11 Wireless Ad-Hoc Network. Lecture Notes in Computer Science, 4516, 321-334. [details]
    • Roijers, F., Mandjes, M. R. H., & van den Berg, H. (2007). Analysis of congestion periods of an M/M/infinity-queue. Performance Evaluation, 64(7-8), 737-754. https://doi.org/10.1016/j.peva.2006.12.001 [details]
    • Blanchet, J., & Mandjes, M. R. H. (2007). Rare-event simulation for queues (Editorial). Queueing Systems, 57(2-3), 57-59. https://doi.org/10.1007/s11134-007-9053-6 [details]
    • Dębicki, K., & Mandjes, M. (2007). A note on large-buffer asymptotics for generalized processor sharing with Gaussian inputs. Queueing Systems, 55(4), 251-254. https://doi.org/10.1007/s11134-007-9021-1 [details]
    • Dębicki, K., Mandjes, M., & van Uitert, M. (2007). A tandem queue with Lévy input: a new representation of the downstream queue length. Probability in the Engineering and Informational Sciences, 21(1), 83-107. https://doi.org/10.1017/S0269964807070064 [details]
    • Egorova, R., Mandjes, M. R. H., & Zwart, B. (2007). Sojourn time asymptotics in Processor Sharing queues with varying service rate. Queueing Systems, 56(3-4), 169-181. https://doi.org/10.1007/s11134-007-9026-9 [details]
    • Goebel, J., Krzesinski, A., & Mandjes, M. R. H. (2007). Analysis of an ad hoc network with autonomously moving nodes. In Proceedings of the Australasian Telecommunication Networks and Applications Conference "ATNAC" 2007 (pp. 41-46) [details]
    • Miretskiy, D. I., Scheinhardt, W. R. W., & Mandjes, M. R. H. (2007). Tandem queue with server slow-down. Performance Evaluation Review, 35(3), 51-52. DOI: 10.1145/1328690.1328712 [details]
    • van de Meent, R., Mandjes, M., & Pras, A. (2007). Smart Dimensioning of IP Network Links. Lecture Notes in Computer Science, 4785, 86-97. [details]
    • van den Berg, H., Mandjes, M., & Núñez-Queija, R. (2007). Pricing and distributed QoS control for elastic network traffic. Operations Research Letters, 35(3), 297-307. DOI: 10.1016/j.orl.2006.03.018 [details]

    2006

    • Lieshout, P. M. D., Borst, S., & Mandjes, M. R. H. (2006). Heavy-traffic approximations for linear networks operating under alpha-fair bandwidth-sharing policies. In Proceedings Value Tools Pisa, Italy: ACM Digital Library. [details]
    • Lieshout, P. M. D., Mandjes, M. R. H., & Borst, S. (2006). GPS scheduling: Selection of optimal weights and comparison with strict priorities. Performance Evaluation, 34, 75-86. [details]
    • Mandjes, M. R. H. (2006). Large deviations for complex buffer architectures: the short-range dependent case. Stochastic Models, 22(1), 99-128. https://doi.org/10.1080/15326340500481762 [details]
    • Mandjes, M. R. H., & Mannersalo, P. (2006). Queueing systems fed by many exponential on-off sources: an infinite-intersection approach. Queueing Systems, 54, 5-20. https://doi.org/10.1007/s11134-006-7781-7 [details]
    • Mandjes, M. R. H., Mannersalo, P., Norros, I., & van Uitert, M. (2006). Large deviations of infinite intersections of events in Gaussian processes. Stochastic Processes and their Applications, 116(9), 1269-1293. DOI: 10.1016/j.spa.2006.02.003 [details]
    • Mandjes, M. R. H., & Zwart, B. (2006). Large deviations for sojourn times in processor sharing queues. Queueing Systems, 52(4), 237-250. https://doi.org/10.1007/s11134-006-5567-6 [details]
    • Abendroth, D., van den Berg, H., & Mandjes, M. R. H. (2006). A versatile model for TCP bandwidth sharing in networks with heterogeneous users. AEÜ International Journal of Electronics and Communications, 60, 267-278. DOI: 10.1016/j.aeue.2005.03.009 [details]
    • Degrande, N., de Vleeschauwer, D., Kooij, R. E., & Mandjes, M. R. H. (2006). Modeling ping times in first person shooter games. In C. Diot, & e.a. (Eds.), Proceedings ACM CoNEXT '06, Lisbon, Portugal ACM. [details]
    • Kella, O., Boxma, O., & Mandjes, M. R. H. (2006). A Levy process reflected at a Poisson age process. Journal of Applied Probability, 43, 221-230. DOI: 10.1239/jap/1143936255 [details]
    • Miretskiy, D., Mandjes, M. R. H., & Scheinhardt, W. (2006). Efficient simulation of a tandem queue with server slowdown. In Proceedings of the 6th International Workshop on Rare Event Simulation (RESIM 2006) (pp. 132-143). Bamberg, Germany. [details]
    • van de Meent, R., Mandjes, M. R. H., & Pras, A. (2006). Gaussian traffic everywhere? Proceedings of the IEEE. [details]
    • van den Berg, H., Mandjes, M. R. H., van de Meent, R., Pras, A., Roijers, F., & Venemans, P. H. A. (2006). QoS-aware bandwidth provisioning for IP network links. Computer Networks, 50(5), 631-647. https://doi.org/10.1016/j.comnet.2005.05.028 [details]

    2005

    • Dieker, A. B., & Mandjes, M. R. H. (2005). On asymptotically efficient simulation of large deviation probabilities. Advances in Applied Probability, 37(2), 539-552. DOI: 10.1239/aap/1118858638 [details]
    • Mandjes, M. R. H., & van Uitert, M. J. G. (2005). Sample-path large deviations for generalized processor sharing queues with Gaussian inputs. Performance Evaluation, 61(2-3), 225-256. https://doi.org/10.1016/j.peva.2004.11.009 [details]
    • Mandjes, M. R. H., & van Uitert, M. J. G. (2005). Sample-path large deviations for tandem and priority queues with Gaussian inputs. The Annals of Applied Probability, 15, 1193-1226. DOI: 10.1214/105051605000000133 [details]
    • Mandjes, M. R. H., & van de Meent, R. (2005). Inferring traffic burstiness by sampling the buffer occupancy. Lecture Notes in Computer Science, 3462, 303-315. [details]
    • Mandjes, M. R. H., Mannersalo, P., & Norros, I. (2005). Priority queues with Gaussian input: a path-space approach to loss and delay asymptotics. In Proceedings ITC 19 (pp. 1135-1144). Beijing, China. [details]
    • Mandjes, M. R. H., Saniee, I., & Stolyar, A. L. (2005). Load characterization, overload prediction, and load anomaly detection for voice over IP traffic. IEEE Transactions on Neural Networks, 16(5), 1019-1028. DOI: 10.1109/TNN.2005.853427 [details]
    • Mandjes, M. R. H., & Nuijens, M. F. M. (2005). Sojourn times in the M/G/1 FB queue with light-tailed service times. Probability in the Engineering and Informational Sciences, 19(3), 351-361. [details]
    • Abendroth, D., van den Berg, H., & Mandjes, M. R. H. (2005). A multiple time-scale model for TCP bandwidth sharing under user heterogeneity. Lecture Notes in Computer Science, 3462, 561-573. [details]
    • Abendroth, D., van den Berg, J. L., & Mandjes, M. R. H. (2005). A versatile model for TCP bandwidth sharing in networks with user heterogeneity. In B. D. Choi (Ed.), Proceedings Korea-Netherlands Joint Conference on Queueing Theory and its Applications to Telecommunication Systems, , Seoul, South Korea. (pp. 173-188). Amsterdam: Centrum voor Wiskunde en Informatica. [details]
    • Malhotra, R., van Haalen, R., Mandjes, M. R. H., & Núñez-Queija, R. (2005). Modeling the interaction of IEEE 802.3x hop-by-hop flow control with TCP end-to-end flow control. In Proceedings 1st EuroNGI Conference on Next Generation Internet Networks - Traffic Engineering, Rome, Italy Amsterdam: Centrum voor Wiskunde en Informatica. [details]
    • Pras, A., van de Meent, R., & Mandjes, M. (2005). QoS in hybrid networks: an operator's perspective. Lecture Notes in Computer Science, 3552, 388-391. [details]
    • Scheinhardt, W., van Foreest, N., & Mandjes, M. R. H. (2005). Continuous feedback fluid queues. Operations Research Letters, 33(6), 551-559. DOI: 10.1016/j.orl.2004.11.008 [details]
    • van Foreest, N., van Ommeren, J. C., Mandjes, M. R. H., & Scheinhardt, W. (2005). A tandem queue with server slow-down and blocking. Stochastic Models, 21(2/3), 695-724. https://doi.org/10.1081/STM-200056037 [details]
    • van de Meent, R., & Mandjes, M. R. H. (2005). Evaluation of 'user-oriented' and 'black-box' traffic models for link provisioning. In Proceedings 1st EuroNGI Conference on Next Generation Internet Networks - Traffic Engineering, Rome, Italy. Amsterdam: Centrum voor Wiskunde en Informatica. [details]

    2004

    • Mandjes, M. R. H. (2004). A note on the benefits of buffering. Stochastic Models, 20, 43-54. https://doi.org/10.1081/STM-120028390 [details]
    • Mandjes, M. R. H. (2004). Packet models revisited: tandem and priority systems. Queueing Systems, 47(4), 363-377. https://doi.org/10.1023/B:QUES.0000036397.20364.70 [details]
    • Mandjes, M. R. H. (2004). Pricing strategies and service differentiation. Netnomics, 6, 59-81. [details]
    • Mandjes, M. R. H., & Boots, N. K. (2004). The shape of the loss curve, and the impact of long-range dependence on network performance. AEÜ International Journal of Electronics and Communications, 58, 101-117. DOI: 10.1078/1434-8411-54100215 [details]
    • Mandjes, M. R. H., & Lasilla, P. (2004). A multi-level TCP model with heterogeneous RTTs. Lecture Notes in Computer Science, 3042, 52-63. [details]
    • Dębicki, K., & Mandjes, M. (2004). Traffic with an fBM limit: convergence of the stationary workload process. Queueing Systems, 46(1-2), 113-127. https://doi.org/10.1023/B:QUES.0000021144.61749.aa [details]
    • Zwart, A. P., Borst, S., & Mandjes, M. R. H. (2004). Exact asymptotics for fluid queues fed by multiple heavy-tailed on-off sources. The Annals of Applied Probability, 14, 903-957. [details]
    • van de Meent, R., Pras, A., Mandjes, M. R. H., van den Berg, J. L., Roijers, F., Nieuwenhuis, L. J. M., & Venemans, P. H. A. (2004). Burstiness predictions based on rough network traffic measurements. In Proceedings of the 19th World Telecommunications Congress (WTC/ISS 2004), Seoul, Korea [details]

    2000

    • Boucherie, R. J., Verwijmeren, S. C. J., & Mandjes, M. (2000). Asymptotic evaluation of blocking probablities in a hierarchical cellular mobile network. Probability in the Engineering and Informational Sciences, 14, 81-99. [details]

    1997

    • Boucherie, R. J., Verwijmeren, S. C. J., & Mandjes, M. (1997). Asymptotic evaluation of blocking probabilities in a hierarchical cellular mobile network. AE-report, 97(10). [details]

    1996

    • Boucherie, R. J., & Mandjes, M. (1996). Computation of performance measures for product form cellular mobile communications networks. Report AE, 96(6). [details]

    2015

    • Boxma, O., Kapodistria, S., & Mandjes, M. (2015). Performance analysis of stochastic networks. Nieuw Archief voor Wiskunde, 5/16(3), 193-200. [details]
    • van Leeuwaarden, J., & Mandjes, M. (2015). NETWORKS. Nieuw Archief voor Wiskunde, 5/16(3), 161-164. [details]

    2007

    • Mandjes, M. R. H. (2007). Nieuwe kansen (1). (Oratiereeks). Amsterdam: Vossiuspers. [details]
    • Mandjes, M. (2007). Nieuwe kansen (2). Nieuw Archief voor Wiskunde, 5/8(3), 164-170. [details]

    Tijdschriftredactie

    • Mandjes, M. R. H. (editor) (2011-2019). Journal of Applied Probability (Journal).
    • Mandjes, M. R. H. (editor) (2011-2019). Advances in Applied Probability (Journal).

    2017

    2009

    • Kemper, B. P. H., & Mandjes, M. R. H. (2009). Approximations for the mean sojourn time in a parallel qeue. (Report PNA; No. E0901). Amsterdam: Centrum Wiskunde & Informatica. [details]

    2008

    • Adan, I., Mandjes, M., Scheinhardt, W., & Tzenova, E. (2008). On a generic class of two-node queueing systems. (CWI research report; No. PNA-R0802). Amsterdam: Stichting Centrum voor Wiskunde en Informatica. [details]
    • Adan, I., Mandjes, M., Scheinhardt, W., & Tzenova, E. (2008). On a generic class of two-node queueing systems. (Eurandom report series; No. 2008-010). Eindhoven: Eurandom. [details]
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