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.
Vacancies
No vacancies currently.
News
NEW PROBABILISTIC TECHNIQUES FOR THE ANALYSIS OF ENERGY NETWORKS UNDER UNCERTAINTY
Tommaso Nesti, PhD student at CWI’s Stochastics group, has developed new mathematical techniques to help model, control and operate modern-day power grids in the presence of uncertainty.
CWI starts development of statistical framework for prediction of fires
Recently, a project submitted to NWO-TTW's open technology programme by a consortium consisting of researchers from CWI, UT, Thales and the Twente Fire Brigade has been granted.
CWI develops new mathematical tools for analysis of rare events
PhD student Bohan Chen of CWI’s Stochastics group, developed new mathematical tools for rare event analysis. Chen’s PhD research has mainly focused on large deviations theory and rare-event simulation in heavy-tailed settings.
NWO KLEIN grant for Stacey Jeffery and Marie Colette van Lieshout
CWI researchers Stacey Jeffery and Marie Colette van Lieshout have been awarded a grant from the NWO KLEIN programme.
Members
- Rebekka Arntzen
- Rob van den Berg
- Guus Berkelmans
- Wouter Berkelmans
- Etienne van de Bijl
- Mark Blokland
- Tim de Boer
- Ruurd Buijs
- Elisabeth Fokker
- Arwin Gansekoele
- Jan Klein
- Thomas Koch
- Britt van Leeuwen
- Marie-Colette van Lieshout
- Robin Markwitz
- Rob van der Mei
- Marta Milewska
- Rudesindo Núñez Queija
- Joris Pries
- Salim Salmi
- Bert Zwart
Associated Members
Publications
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Ghazanfari, S, van Leeuwen, D, Ravner, L, & Núñez Queija, R. (2021). Commuter behavior under travel time uncertainty. Performance Evaluation, 148. doi:10.1016/j.peva.2021.102200
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Garcia, B. L., Bekker, R, van der Mei, R.D, Chavannes, N.H, & Kruyt, N.D. (2021). Optimal patient protocols in regional acute stroke care. Health Care Management Science. doi:10.1007/s10729-020-09524-2
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Buijs, R.J.W, Koch, T, & Dugundji, E.R. (2021). Using neural nets to predict transportation mode choice: Amsterdam network change analysis. Journal of Ambient Intelligence and Humanized Computing. doi:10.1007/s12652-020-02855-6
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Koch, T, & Dugundji, E.R. (2021). Limitations of recursive logit for inverse reinforcement learning of bicycle route choice behavior in Amsterdam. In Proceedings of the Transportation Research Board 100th Annual Meeting.
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van Kampen, J.R.A, Pauwels, E.J.E.M, van der Mei, R.D, & Dugundji, E.R. (2021). Understanding the relation between travel duration and station choice behavior of cyclists in the metropolitan region of Amsterdam. Journal of Ambient Intelligence and Humanized Computing. doi:10.1007/s12652-020-02856-5
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Tabatabaei, S.A, Klein, J.G, & Hoogendoorn, M. (2021). Estimating the F1 score for learning from positive and unlabeled examples. In LOD 2020: Machine Learning, Optimization, and Data Science (pp. 1–12). doi:10.1007/978-3-030-64583-0_15
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Koch, T, & Dugundji, E.R. (2021). Determining the effect of lower public transit frequencies in COVID-19 timetables on perceived door-to-door travel times using Pareto optimal range queries. In Proceedings of the Transportation Research Board 100th Annual Meeting.
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Salmi, S, Mérelle, S, Gilissen, R, & Brinkman, W.-P. (2021). Content-based recommender support system for counselors in a suicide prevention chat helpline: Design and evaluation study. Journal of Medical Internet Research, 23(1). doi:10.2196/21690
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Zweers, B.G, Bhulai, S, & van der Mei, R.D. (2020). Pre-processing a container yard under limited available time. Computers & Operations Research, 123(105045). doi:10.1016/j.cor.2020.105045
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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
Current projects with external funding
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Ontwikkeling van Data Analytics, Data Science en Crypto Analyse technieken ()
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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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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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Mathematics for Logistics and Supply Chain Management (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)
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Urban Mobility Observatory (UMO)
Related partners
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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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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