Zilverling

prof.dr. M.N.M. van Lieshout (Marie-Colette)

Full Professor
EEMCS-AM-MOR
Zilverling 4029
m.n.m.vanlieshout@utwente.nl
+31534895647
Business card

Marie-Colette van Lieshout was educated at Free University and CWI Amsterdam. She started her career as lecturer at the University of Warwick before moving back to CWI as senior researcher. She also holds a chair in spatial stochastics at the University of Twente. She has published around 60 scientific papers and 5 books in stochastic geometry, spatial statistics and image analysis. Her research concerns the modelling and analysis of complicated geometrical structures such as point and object processes, random fields and tessellation models. Van Lieshout is an elected member of the ISI (International Statistical Institute). She  is a board member of the council of the Bernoulli Society and the STAR research cluster, and was a member of the editorial boards of several journals, including Bernoulli and Methodology and Computing in Applied Probability, as well as of the KWG.

Expertise

  • Earth and Planetary Sciences

    • Model
    • Summary

  • Mathematics

    • Point Process
    • intensity function λ
    • Kernel Estimator
    • Spatial Point Process

  • Computer Science

    • Functions
    • Models

Organisations

Ancillary activities

  • CWISenior researcher

Publications

2025

Comprehensive monitoring and prediction of seismicity within the Groningen gas field using large-scale field observations (2025)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Baki, Z.https://doi.org/10.3990/1.9789036564908Statistical and machine learning contributions to spatial and spatio-temporal point process modelling, with an application to Dutch fire risk prediction (2025)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Lu, C.https://doi.org/10.3990/1.9789036564984Controlling the low-temperature Ising model using spatiotemporal Markov decision theory (2025)[Working paper › Preprint]. ArXiv.org. de Jongh, M. C., Boucherie, R. J. & van Lieshout, M. N. M.https://doi.org/10.48550/arXiv.2501.03668

2024

Codes and Data for 'Data Driven Risk Management for Fire Services' (2024)[Dataset Types › Dataset]. 4TU.Centre for Research Data. van Lieshout, M.-C. & Lu, C.https://doi.org/10.4121/616ebe58-9d77-4882-a5d6-dbc07b91f077A Non-Homogeneous Alternating Renewal Process Model for Interval Censoring (2024)Journal of applied probability, 62(2), 494-515 (E-pub ahead of print/First online). van Lieshout, M. N. M. & Markwitz, R. L.https://doi.org/10.1017/jpr.2024.54Data driven risk management for fire services: Chimney fire prediction application (2024)[Thesis › EngD Thesis]. University of Twente. Esas, Ö.Optimal decision rules for marked point process models (2024)Stochastic environmental research and risk assessment, 38(9), 3607-3617. van Lieshout, M.-C.https://doi.org/10.1007/s00477-024-02769-1Exploring Seismic Hazard in the Groningen Gas Field Using Adaptive Kernel Smoothing (2024)Mathematical geosciences, 56, 1185–1206. van Lieshout, M.-C. & Baki, Z.https://doi.org/10.1007/s11004-023-10081-xDiscussion of ‘Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks’ by Matthias Eckardt and Mehdi Moradi (2024)Journal of Agricultural, Biological, and Environmental Statistics, 29, 395-398. van Lieshout, M.-C.https://doi.org/10.1007/s13253-024-00609-xM.N.M. van Lieshout and C. Lu's contribution to the Discussion of 'the Discussion Meeting on Probabilistic and statistical aspects of machine learning' (2024)Journal of the Royal Statistical Society. Series B: Statistical Methodology, 86(2), 306-307. van Lieshout, M.-C. & Lu, C.https://doi.org/10.1093/jrsssb/qkad150

Research profiles

Address

University of Twente

Zilverling (building no. 11), room 4029
Hallenweg 19
7522 NH Enschede
Netherlands

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