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Personal profile

Personal information

Ad Ridder is associate professor at the department of Econometrics and OR He works at the Vrije Universiteit since 1993. Before that he worked as an assistant professor at the Erasmus University Rotterdam, as a lecturer at the University of California at Berkeley, and as a research scientist at Devtech International BV (Heerlen, the Netherlands). He got his PhD in operations research from the University of Leiden in 1987.


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

  • Rare Event Analysis and Simulation
  • Queues
  • Numerical Methods of Markov Chains
  • Cross-entropy
  • Counting


Ancillary activities

No ancillary activities

Ancillary activities are updated daily

Education/Academic qualification

PhD, Univeristeit Leiden

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Research Output 1996 2018

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 contribution

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 proceedingChapter

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 contribution

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 journalArticle

Rare Event Simulation
Importance Sampling
Sampling Distribution
Cross-entropy Method

Sequential Monte Carlo for counting vertex covers in general graphs

Ridder, A. A. N., Botev, Z. & Vaisman, R. 2016 In : Statistics and Computing. 26, 3, p. 591-607 18 p.

Research output: Contribution to journalArticle

Sequential Importance Sampling
Sequential Monte Carlo
Importance sampling
Vertex Cover