For best experience please turn on javascript and use a modern browser!
uva.nl

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

Hoogleraar FNWI / Gasthoogleraar FEB
Faculty of Economics and Business
Faculty of Science
Photographer: Monique Onderwater

Visiting address
  • Science Park 105
  • Room number: F3.37
Postal address
  • Postbus 94248
    1090 GE Amsterdam
  • Postbus 94248
    1090 GE Amsterdam
  • Publications

    2019

    • 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
    • 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. https://doi.org/10.1016/j.ejor.2018.09.049 [details]
    • Berkelmans, W., Cichocka, A., & Mandjes, M. (2019). The correlation function of a queue with Lévy and Markov additive input. Stochastic Processes and their Applications. https://doi.org/10.1016/j.spa.2019.05.015
    • Bisewski, K., Crommelin, D., & Mandjes, M. (2019). Rare event simulation for steady-state probabilities via recurrency cycles. Chaos, 29(3), [033131]. https://doi.org/10.1063/1.5080296
    • Bisewski, K., Crommelin, D., & Mandjes, M. (2019). Simulation-based assessment of the stationary tail distribution of a stochastic differential equation. In WSC 2018 - 2018 Winter Simulation Conference: Simulation for a Noble Cause (pp. 1742-1753). [8632197] (Proceedings - Winter Simulation Conference; Vol. 2018-December), (IEEE). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WSC.2018.8632197
    • 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 [details]
    • Boxma, O., Kella, O., & Mandjes, M. (2019). Infinite-server systems with Coxian arrivals. Queueing Systems, 92(3-4), 233-255. https://doi.org/10.1007/s11134-019-09613-2
    • 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. https://doi.org/10.1016/j.insmatheco.2018.10.001 [details]
    • 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
    • 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
    • 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

    2018

    2017

    2016

    2015

    2014

    • 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. https://doi.org/10.3150/12-BEJ491 [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]
    • 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. https://doi.org/10.1007/s11009-012-9296-5 [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]
    • 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]
    • 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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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]

    2013

    • Asghari, N. M., Mandjes, M., & Walid, A. (2013). Optimizing energy management in multi-core servers. Performance Evaluation Review, 41(2), 38-40. https://doi.org/10.1145/2518025.2518031 [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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/10.1016/j.spl.2013.03.028 [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. https://doi.org/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. https://doi.org/10.1007/s00186-013-0450-9 [details]
    • Juneja, S., & Mandjes, M. (2013). Overlap problems on the circle. Advances in Applied Probability, 45(3), 773-790. https://doi.org/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. https://doi.org/10.1016/j.spl.2013.06.008 [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. https://doi.org/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. https://doi.org/10.1007/978-3-642-36784-7_8 [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. https://doi.org/10.1007/s00186-013-0434-9 [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. https://doi.org/10.1007/978-3-642-39408-9_32 [details]

    2012

    2011

    2010

    2009

    2008

    • 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]
    • Es-Saghouani, A., & Mandjes, M. (2008). On the correlation structure of a Lévy-driven queue. Journal of Applied Probability, 45(4), 940-952. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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]
    • 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). https://doi.org/10.4108/ICST.VALUETOOLS2008.4370 [details]

    2007

    2006

    • 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. https://doi.org/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. https://doi.org/10.1239/jap/1143936255 [details]
    • 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., & 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]
    • 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. https://doi.org/10.1016/j.spa.2006.02.003 [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

    • 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]
    • Dieker, A. B., & Mandjes, M. R. H. (2005). On asymptotically efficient simulation of large deviation probabilities. Advances in Applied Probability, 37(2), 539-552. https://doi.org/10.1239/aap/1118858638 [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]
    • 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]
    • 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. https://doi.org/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. https://doi.org/10.1109/TNN.2005.853427 [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. https://doi.org/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

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

    Journal editor

    • 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]
    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
  • Ancillary activities
    • No ancillary activities
    • No ancillary activities