Zilverling

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

Hoogleraar
EEMCS-AM-MOR
Zilverling 4029
m.n.m.vanlieshout@utwente.nl
+31534895647
Visitekaartje

https://www.cwi.nl/people/marie-colette-van-lieshout

Expertises

  • Earth and Planetary Sciences

    • Model
    • Summary

  • Mathematics

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

  • Computer Science

    • Functions
    • Models

Organisaties

Nevenwerkzaakheden

  • CWISenior researcher

Publicaties

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 (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

Onderzoeksprofielen

Scan de QR-code of
Download vCard