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

First prize for logistic innovation COVID-19 vaccination strategy
The jury was impressed by the submission titled ‘A fast and responsive supply chain’ by CWI (Rob van der Mei) and HvA (Dennis Moeke).

KUHN Award for Stochastics researchers
Naval Research Logistics (NRL) has awarded the Harald W. Kuhn Award 2020 to Bernard Zweers, Rob van der Mei and Sandjai Bhulai (VU) for their paper “Optimizing barge utilization in hinterland container transportation”.

CWI researchers analyze suicide prevention help calls during pandemic
Salim Salmi, PhD-student in CWI's Stochastics group, analyzed conversations between Stichting 113 Suicide Prevention caregivers and clients before and during the COVID-19 pandemic.

Cum laude for optimization of hinterland transportation
At large deep-sea ports tens of thousands of containers are handled daily. PhD student Bernard Zweers of CWI's Stochastics group investigated how these containers can be transported to the hinterland as efficient as possible. He received a 'cum laude' degree for this PhD research.
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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Verhoeven, B, Hout, N.K, Devaraj, A, Zwitzer, H, Crapts, T, Ion, A, … Dugundji, E.R. (2021). Short-Term Forecasting of Air Cargo Demand from a European Airport Hub to the United States during COVID-19.
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Fokker, E.S, Koch, T, & Dugundji, E.R. (2021). Long-Term Forecasting of Off-Street Parking Occupancy for Smart Cities.
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Zweers, B.G. (2021, January 19). Optimization of hinterland container transportation and terminal operations.
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Bazhba, M, Blanchet, J, Rhee, C.H, & Zwart, A.P. (2020). Sample path large deviations for Lévy processes and random walks with Weibull increments. Annals of Applied Probability, 30(6), 2695–2739. doi:10.1214/20-AAP1570
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Koch, T, & Dugundji, E.R. (2020). A review of methods to model route choice behavior of bicyclists: inverse reinforcement learning in spatial context and recursive logit. In ACM SIGSPATIAL. doi:10.1145/3423335.3428165
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Kleinrouweler, J.W.M. (2020, October 28). Modeling and optimization of network assisted video streaming.
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Mahfoud, M, Bernasco, W, Bhulai, S, & van der Mei, R.D. (2020). Forecasting spatio‑temporal variation in residential burglary with the integrated Laplace approximation framework: Effects of crime generators, street networks, and prior crimes. Journal of Quantitative Criminology, 1–28. doi:10.1007/s10940-020-09469-3
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Patch, B.J, & Zwart, A.P. (2020). Analyzing large frequency disruptions in power systems using large deviations theory. In 2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings. doi:10.1109/PMAPS47429.2020.9183551
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Usanov, D. (2020, May 11). Emergency response networks: dynamic dispatching and relocation of resources.
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van Kampen, J.R.A, Jayaraj, M.A, Pauwels, E.J.E.M, van der Mei, R.D, & Dugundji, E.R. (2020). Understanding the relation between distance and train station choice behavior of cyclists in the western region of the Netherlands. Procedia Computer Science, 170, 98–106. doi:10.1016/j.procs.2020.03.013
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