Description
Leader of the group Stochastics: Bert Zwart.
Many natural and man-made systems and processes are driven by random phenomena. Examples can be found in areas such as communication, energy, information, logistics, and transportation systems. In order to model, describe, and improve such systems, our group develops and studies probabilistic, operational and statistical models. Our group’s analysis of these models relies on techniques from fundamental probability theory, queueing theory, stochastic scheduling, spatial stochastics and stochastic geometry. Our work with various companies in these areas, as well as with top researchers and universities across the globe, ensures our position at the forefront of every aspect of this research field.
News
ELA Best Presentation award for Bernard Zweers
Bernard Zweers of CWI’s Stochastics group has been awarded the best presentation award at the 24th doctorate workshop of the European Logistics Association.
CWI develops models for prevention and reduction of traffic jams
Daphne van Leeuwen of CWI’s Stochastics group focused on the following research question during her PhD: How to design effective control mechanisms to reduce or prevent congestion road networks in the omnipresence of uncertainty?
CWI, EIT Digital, Spirit, and UPM launch Innovation Activity ''G-Moji' - an impressive smartphone application to improve lives of youth at risk
Dutch youth care organization Spirit, Centrum Wiskunde & Informatica (CWI) and Universidad Politécnica de Madrid (UPM), join forces in the new innovation activity of EIT Digital.
CWI and Stichting 113 use data analytics for suicide prevention
Foundation 113 aims at a society in which nobody dies lonely or desperate because of suicide. To achieve this goal, Centrum Wiskunde & Informatica (CWI) and Foundation 113 Suicide Prevention have recently started a research collaboration.
Members
Associated Members
Publications
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van Lieshout, M.N.M. (2020). Infill asymptotics and bandwidth selection for kernel estimators of spatial intensity functions. Methodology and Computing in Applied Probability, 22(3), 995–1008. doi:10.1007/s11009-019-09749-x
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Hut, D, Goseling, J, van Lieshout, M.N.M, de Wolf, P.-P, & de Jonge, E. (2020). Statistical disclosure control when publishing on thematic maps. In Proceedings of Privacy in Statistical Databases 2020.
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Vis, P, Bekker, R, van der Mei, R.D, & Núñez Queija, R. (2020). Heavy-traffic limits for Discriminatory Processor Sharing models with joint batch arrivals. Operations Research Letters, 48(2), 136–141.
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Berkelmans, G.A, van der Mei, R.D, Bhulai, S, Merelle, S, & Gilissen, R. (2020). Demographic risk factors for suicide among youths in the Netherlands. International Journal of Environmental Research and Public Health, 17(4). doi:10.3390/ijerph17041182
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Huizing, D, Schäfer, G, van der Mei, R.D, & Bhulai, S. (2020). The median routing problem for simultaneous planning of emergency response and non-emergency jobs. European Journal of Operational Research. doi:10.1016/j.ejor.2020.02.002
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Bhattacharya, A, & Palmowski, Z. (2019). Slower variation of the generation sizes induced by heavy-tailed environment for geometric branching. Statistics and Probability Letters, 154. doi:10.1016/j.spl.2019.06.026
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Radovanovic, A, Nesti, T, & Chen, B. (2019). A holistic approach to forecasting wholesale energy market prices. IEEE Transactions on Power Systems, 34(6), 4317–4328. doi:10.1109/TPWRS.2019.2921611
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Usanov, D, van de Ven, P.M, & van der Mei, R.D. (2019). Dispatching fire trucks under stochastic driving times. Computers and Operations Research, 114.
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Legemaate, G.A.G, Bhulai, S, & van der Mei, R.D. (2019). Applied urban fire department incident forecasting. In Proceedings of IARIA Data Analytics.
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van Dam, L, Rietstra, S, van der Drift, E, Stams, G.J.J.M, van der Mei, R.D, Mahfoud, M, … Reid, T.G. (2019). Can an emoji a day keep the doctor away? An explorative mixed-methods feasibility study to develop a self-help app for youth with mental health problems. Frontiers in Psychiatry, 10. doi:10.3389/fpsyt.2019.00593
Current projects with external funding
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Ontwikkeling van Data Analytics, Data Science en Crypto Analyse technieken ()
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Rare events: Asymptotics, Algorithms, Applications ()
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Impactstudie Noord/Zuidlijn Gemeente Amsterdam
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Samenwerkingsovereenkomst Stichting 113 / CWI - Zelfmoordpreventie
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Data-driven optimization for a vital elderly care system in the Netherlands (DOLCE VITA)
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Dynamic urban traffic flow management using floating-car, planning, and infrastructure data (Dynafloat)
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Lane Analysis & Route Advisor (LARA)
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Evidence-based effective monitoring and control of Covid-19 after the initial outbreak (None)
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Het dectecteren van (corona-gerelateerde) problemen bij de hulpvragers van 113 Zelfmoordpreventie voor en de uitbraak van de coronapandamie in Nederland middels state-of-the-art Natural Language Processing (NLP) (None)
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State estimation for spatio-temporal point processes with applications to criminology (None)
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PPS Engie
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Robust, Effective and Adaptable Ship Designs for Uncertain Transition Paths (READINESS)
Related partners
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De Verkeersonderneming
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Gemeente Amsterdam
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RIVM
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Stichting 113
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Universiteit Wageningen
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Academisch Medisch Centrum
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Stichting Sensor City
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Engie Services West Nederland B.V.
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Erasmus Universiteit Rotterdam
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Leids Universitair Mediach Centrum
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Technische Universiteit Eindhoven
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Technische Universiteit Delft
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Universiteit Utrecht
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Vrije Universiteit Amsterdam