If you made any changes in Pure these will be visible here soon.

Personal profile

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.

 

Research

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

Teaching

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.

  • 1 Similar Profiles
Importance sampling Engineering & Materials Science
Importance Sampling Mathematics
Rare Event Simulation Mathematics
Cross-entropy Method Mathematics
Large Deviations Mathematics
Markov processes Engineering & Materials Science
Entropy Engineering & Materials Science
Rare Events Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

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 contributionAcademicpeer-review

Simulation Tool
Trucks
Lubricants
Software Tools
Driver

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
Cross-entropy
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 JournalArticleAcademicpeer-review

Sequential Importance Sampling
Sequential Monte Carlo
Importance sampling
Vertex Cover
Counting

Activities 2000 2000

  • 1 Lecture / Presentation

Fast simulation of retrial queues

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

Activity: Lecture / PresentationAcademic

Prizes

Best Theoretical Paper Award

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

Prize: Prize / AwardAcademic

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

Prize: Prize / AwardAcademic

Operations research