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Personal information

Ad Ridder is an associate professor of Operations Research at the Department of Econometrics and Operations Research, Vrije Universiteit, Amsterdam, the Netherlands, where he teaches courses on stochastic operations research, numerical methods, and computer simulation. He obtained his MSc in Mathematics from the University of Amsterdam in 1983, and his PhD in Operations Research from Leiden University in 1987. His affiliations after his graduation include the University of California at Berkeley and the Rotterdam School of Management of Erasmus University. In 2000 he received the Goodeve Medal for the most outstanding contribution in the journals published by the Operational Research Society (UK) in 2000, and in 2016 he received an award for Best Theoretical Paper at the Winter Simulation Conference 2016. He serves as a board member of the Netherlands Society of Statistics and Operations Research since 2011. He was member of the organizing committee of several conferences and workshops, most recently the chair of the 10th International Workshop on Rare Event Simulation in 2014, and co-chair of the 11th Workshop on Retrial Queues and Related Topics in 2016. He has supervised 3 PhD students in the field of his research interest, which is in efficient simulation methodologies for complex stochastic systems, with a focus on rare-event-related techniques. He is co-author of the book Fast Sequential Monte Carlo Methods for Counting and Optimization, Wiley, 2014.



My research interests are broadly speaken stochastic models and their applications, and more specifically:

  • Stochastic Modeling and Simulation
  • Logistic and Financial Systems
  • Efficient Simulation Techniques
  • Rare-event Analysis and Simulation
  • Numerical methods for Markov Chains


Ancillary activities

No ancillary activities

Ancillary activities are updated daily

Education/Academic qualification

PhD, Univeristeit Leiden

Fingerprint Dive into the research topics where A.A.N. Ridder is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Research Output 1993 2019

Monte Carlo Methods for Insurance Risk Computation

Bar-Lev, S. & Ridder, A., 2019, In : International Journal of Statistics and Probability. 8, 3, p. 54-74

Research output: Contribution to JournalArticleAcademicpeer-review

A simulation tool for truck loading at fuel filling plants

Cohen, B., Ridder, A. & Mateman, B., 4 Jan 2018, 2017 Winter Simulation Conference, WSC 2017. Chan, W. K. V., D'Ambrogio, A., Zacharewicz, G., Mustafee, N., Wainer, G. & Page, E. (eds.). New York, NY: Institute of Electrical and Electronics Engineers Inc., p. 3102-3113 12 p.

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Simulation Tool
Software Tools

Variance Reduction

Ridder, A. A. N. & Botev, Z. I., 15 Nov 2017, Wiley StatsRef: Statistics Reference Online. Wiley, p. 1-6

Research output: Chapter in Book / Report / Conference proceedingChapterAcademicpeer-review

An M-estimator for Rare-event Probability Estimation

Ridder, A. A. N. & Botev, Z. I., 2016, Proceedings Winter Simulation Conference (WSC 2016), Arlington, VA, USA. Arlington: WSC

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Semiparametric cross-entropy for rare-event simulation

Ridder, A. A. N., Botev, Z. & Rojas-Nandayapa, L., 2016, In : Journal of Applied Probability. 53, 3, p. 633-649

Research output: Contribution to JournalArticleAcademicpeer-review

Rare Event Simulation
Importance Sampling
Sampling Distribution
Cross-entropy Method

Activities 2000 2000

  • 1 Lecture / Presentation

Fast simulation of retrial queues

A.A.N. Ridder (Speaker)
6 Oct 2000

Activity: Lecture / PresentationAcademic


Best Theoretical Paper Award

A.A.N. Ridder (Recipient) & Z.I. Botev (Recipient), 2016


Goodeve Medal (2001) for the best paper of the Operational Research Society's journals in 2000

A.A.N. Ridder (Recipient), R. Korporaal (Recipient), R. Dekker (Recipient) & P. Kloprogge (Recipient), 2001


Operations research