Research output per year
Research output per year
Personal profile
Ancillary activities
- Koninklijk Wiskundig Genootschap | Amsterdam | Bestuurder | 2024-05-13 - present
- Stichting Platform Wiskunde Nederland | Amsterdam | Bestuurder | 2024-05-13 - present
Ancillary activities are updated daily
Personal information
Research area: stochastic modeling and statistical analysis of biological processes. This comprises development, assessment and application of statistical models and tools. I use mathematical models ranging from (non)linear regression, Markov and hidden Markov models to non-Markovian counting processes, and frequentist as well as Bayesian estimation techniques. My main interest is in statistical models for networks with a special focus on neuroscience applications.
Personal webpage: https://www.math.vu.nl/~degunst/
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
User created Keywords
- Statistics
- Statistics for Life Sciences
- Neuroscience
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Wild bootstrap for counting process-based statistics: a martingale theory-based approach
Dietrich, M. T., Dobler, D. & de Gunst, M. C. M., Jul 2025, In: Lifetime data analysis. 31, 3, p. 631-657 27 p.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
Over ivoren torens en een glazen plafond
de Gunst, M., 12 Apr 2024, Vrije Universiteit Amsterdam. 15 p.Research output: Book / Report › Valedictory speech
Open AccessFile98 Downloads (Pure) -
A conversation with Willem Rutger van Zwet
de Gunst, M., Klaassen, C. A. J. & van der Vaart, A. W., Mar 2023, In: Nieuw Archief voor Wiskunde. Vijfde serie. 24, 1, p. 45-54 10 p.Research output: Contribution to Journal › Article › Professional
Open AccessFile230 Downloads (Pure) -
Statistical Inference for a quasi birth-death model of RNA transcription
de Gunst, M., Mandjes, M. & Sollie, B., 26 Mar 2022, In: BMC Bioinformatics. 23, p. 1-20 20 p., 105.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
Willem van Zwet’s research
Bickel, P., Fiocco, M., de Gunst, M. & Götze, F., Oct 2021, In: Annals of Statistics. 49, 5, p. 2439-2447 9 p.Research output: Contribution to Journal › Article › Academic › peer-review
Open AccessFile400 Downloads (Pure)