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

  • Mathematics

    • Point Process
    • intensity function λ
    • Kernel Estimator

  • Earth and Planetary Sciences

    • Model
    • Gas Field
    • Seismic Hazard

  • Computer Science

    • Functions
    • Models

Organisaties

Nevenwerkzaamheden

  • CWISenior researcher

Publicaties

2025

Infill asymptotics for logistic regression estimators for parameters of the intensity function of spatial point processes (2025)Annals of the Institute of Statistical Mathematics, 1-36 (E-pub ahead of print/First online). van Lieshout, M. N. M. & Lu, C.https://doi.org/10.1007/s10463-025-00973-6Spatio-temporal point process models for interval-censored data (2025)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Markwitz, R. L.https://doi.org/10.3990/1.9789036568128A Cox Rate-and-State Model for Monitoring Seismic Hazard in the Groningen Gas Field (2025)Mathematical geosciences, 1-27. Baki, Z. & van Lieshout, M.-C.https://doi.org/10.1007/s11004-025-10222-4XGBoostPP:: Tree-based Estimation of Point Process Intensity Functions (2025)Journal of Computational and Graphical Statistics (E-pub ahead of print/First online). Lu, C., Guan, Y., van Lieshout, M.-C. & Xu, G.https://doi.org/10.1080/10618600.2025.2520582A Non-Homogeneous Alternating Renewal Process Model for Interval Censoring (2025)Journal of applied probability, 62(2), 494-515. van Lieshout, M. N. M. & Markwitz, R. L.https://doi.org/10.1017/jpr.2024.54Comprehensive 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-dbc07b91f077Data driven risk management for fire services: Chimney fire prediction application (2024)[Thesis › EngD Thesis]. University of Twente. Esas, Ö.

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