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.
# Earthquake # Infill Asymptotics # Intensity Function # Kernel Estimator # Point Process # Spatio-Temporal Process
Business & Economics
# Kernel Estimator # Point Process
Baki, Z. , & van Lieshout, M-C. (2022). The influence of gas production on seismicity in the Groningen field. In METMA X: Proceedings of the 10th International Workshop on Spatio-Temporal Modelling (pp. 163-167). Universitat de Lleida. http://www.metma-x.udl.cat/proceedings
Goseling, J. , & van Lieshout, M-C. (2022). J. Goseling and M.N.M. van Lieshout's contribution to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 84(1), 46-47. https://doi.org/10.1111/rssb.12460
de Jongh, M. , & van Lieshout, M-C. (2022). Testing biodiversity using inhomogeneous summary statistics and global envelope tests. Spatial statistics, 50(August), . https://doi.org/10.1016/j.spasta.2022.100607
Lu, C. , van Lieshout, M-C. , de Graaf, M., & Visscher, P. (2021). Data-driven chimney fire risk prediction using machine learning and point process tools. arXiv.org. https://arxiv.org/abs/2112.07257
van der Ent, L. , van Lieshout, M-C. , de Graaf, M., & de Wit, R. (2021). From tally to foretelling. I/O Magazine, 18(3), 19-21. https://ict-research.nl/wordpress/wp-content/uploads/2017/11/IO-magazine-NR3-2021_web.pdf
Lu, C. , van Lieshout, M-C. , de Graaf, M., & Visscher, P. (2021). Chimney fire prediction based on environmental variables. 288-291. Paper presented at 63rd World Statistics Congress, ISI 2021, Virtual. https://www.isi-web.org/files/docs/papers-and-abstracts/86-day2-cps036-chimney-fire-prediction-based.pdf
School, M. , de Graaf, M. , van Lieshout, M-C., Sanders, E., & de Wit, R. (2021). Van tellen naar voorspellen: Sturen op risico’s met een voorspellend wiskundig model op basis van historische brandweerdata. Tijdschrift voor veiligheid, 20(1), 60-74. https://doi.org/10.5553/TvV/.000020
van Lieshout, M-C. (2021). Infill asymptotics for adaptive kernel estimators of spatial intensity. Australian and New Zealand Journal of Statistics, 63(1), 159–181. . https://doi.org/10.1111/anzs.12319
Hut, D. , Goseling, J. , van Lieshout, M-C., de Wolf, P-P., & de Jonge, E. (2020). Statistical Disclosure Control when Publishing on Thematic Maps. In J. Domingo-Ferrer, & K. Muralidhar (Eds.), Privacy in Statistical Databases: UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23–25, 2020, Proceedings (pp. 195-205). (Lecture Notes in Computer Science; Vol. 12276). Springer. https://doi.org/10.1007/978-3-030-57521-2_14
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Courses Academic Year 2022/2023
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