Edinburgh Research Explorer

Mr. Daniel Reijsbergen

(Former employee or visitor)

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Research Interests

My main research interest is discrete-event simulation, particularly the use of simulation to estimate rare event probabilities. This requires efficient simulation techniques; my particular interest is in importance sampling, a technique in which the underlying model is altered such that the event of interest becomes less rare. I'm also interested in the use of simulation for model checking (called 'statistical model checking'), and the use of sequential hypothesis testing for this purpose. Another field of interest is the modelling and performance evaluation of public transportation systems, in particular because of my work as part of the EU project QUANTICOL.


B.Sc. & M.Sc. in Econometrics & Operations Research, VU Amsterdam, 2007 & 2009
Ph.D. in a combination of Applied Mathematics and Computer Science, University of Twente, 2013


I was born in The Hague, 1985, and in 2009 I obtained my Master’s degree in Econometrics and Operations Research at the VU in Amsterdam under the supervision of Ad Ridder and Henk Tijms. In the same year, I started my Ph.D. research at the University of Twente on the topic of rare event simulation for model checking under the (direct) supervision of Pieter-Tjerk de Boer and Werner Scheinhardt. I obtained my Ph.D. in 2013, with Boudewijn Haverkort and Richard Boucherie acting as promotors. I currently hold a position as a research associate at the University of Edinburgh as a member of the QUANTICOL project. I mostly work on the performance evaluation of bus services in Edinburgh in cooperation with Stephen Gilmore and Jane Hillston.

Research outputs

  1. Probabilistic Modelling of Station Locations in Bicycle-Sharing Systems

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. Hypothesis testing for rare-event simulation: limitations and possibilities

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. Transient and Steady-State Statistical Analysis for Discrete Event Simulators

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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