Over mij
https://www.cwi.nl/people/marie-colette-van-lieshout
Expertises
Mathematics
# Earthquake
# Infill Asymptotics
# Intensity Function
# Kernel Estimator
# Point Process
# Spatio-Temporal Process
Business & Economics
# Kernel Estimator
# Point Process
Verbonden aan
Nevenactiviteiten
-
CWI
Senior researcher
Publicaties
Recent
van Lieshout, M.-C. (2024).
Discussion of ‘Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks’ by Matthias Eckardt and Mehdi Moradi.
Journal of Agricultural, Biological, and Environmental Statistics. Advance online publication.
https://doi.org/10.1007/s13253-024-00609-x
Baki, Z.
, & van Lieshout, M. N. M. (2024).
On the moments of Cox rate-and-state models. (pp. 1-13). ArXiv.org.
https://doi.org/10.48550/arXiv.2403.13413
van Lieshout, M.-C.
, & Markwitz, R. L. (2024).
A non-homogeneous semi-Markov model for interval censoring. (pp. 1-21). ArXiv.org.
Lu, C., Guan, Y.
, van Lieshout, M.-C., & Xu, G. (2024).
XGBoostPP: Tree-based Estimation of Point Process Intensity Functions. ArXiv.org.
https://doi.org/10.48550/arXiv.2401.17966
van Lieshout, M.-C. (2024).
Non‑parametric adaptive bandwidth selection for kernel estimators of spatial intensity functions.
Annals of the Institute of Statistical Mathematics,
76, 313–331.
https://doi.org/10.1007/s10463-023-00890-6
van Lieshout, M.-C.
, & Lu, C. (2024).
Contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning.
Journal of the Royal Statistical Society. Series B: Statistical Methodology. Advance online publication.
https://doi.org/10.1093/jrsssb/qkad150
Lu, C.
, van Lieshout, M.-C.
, de Graaf, M., & Visscher, P. (2023).
Data-driven chimney fire risk prediction using machine learning and point process tools.
Annals of applied statistics,
17(4), 3088-3111.
https://doi.org/10.1214/23-AOAS1752
van Lieshout, M.-C. (2023).
Optimal decision rules for marked point process models. (pp. 1-14). ArXiv.org.
https://doi.org/10.48550/arXiv.2309.03752
van Lieshout, M.-C., & Baki, Z. (2023).
Exploring Seismic Hazard in the Groningen Gas Field Using Adaptive Kernel Smoothing.
Mathematical geosciences. Advance online publication.
https://doi.org/10.1007/s11004-023-10081-x
van Lieshout, M.-C.
, & Markwitz, R. L. (2023).
State estimation for aoristic models.
Scandinavian journal of statistics,
50(3), 1068-1089.
https://doi.org/10.1111/sjos.12619
Pure Link
Vakken Collegejaar 2023/2024
Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.
Vakken Collegejaar 2022/2023
Contactgegevens
Bezoekadres
Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
(gebouwnr. 11), kamer 4029
Hallenweg 19
7522NH Enschede
Postadres
Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
4029
Postbus 217
7500 AE Enschede