Changqing Lu

Full Name

C. Lu

Email

Changqing.Lu@cwi.nl

Phone

+31 20 5929 333

Room

M338

Department(s)

Stochastics

Function(s)

ERCIM Fellow

Changqing Lu

van Lieshout, M.-C., & Lu, C. (2025). Infill asymptotics for logistic regression estimators for parameters of the intensity function of spatial point processes. Annals of the Institute of Statistical Mathematics, 2025. doi:10.1007/s10463-025-00973-6
Lu, C., Guan, Y., van Lieshout, M.-C., & Xu, G. (2025). XGBoostPP: Tree-based estimation of point process intensity functions. Journal of Computational and Graphical Statistics. doi:10.1080/10618600.2025.2520582
Lu, C. (2025, February 27). Statistical and machine learning contributions to spatial and spatio-temporal point process modelling, with an application to Dutch fire risk prediction. Retrieved from http://dx.doi.org/10.3990/1.9789036564984
van Lieshout, M.-C., & Lu, C. (2024). M.N.M. van Lieshout and C. Lu's 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. doi: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. The Annals of Applied Statistics, 17(4), 3088–3111. doi:10.1214/23-AOAS1752
Lu, C., van Lieshout, M.-C., de Graaf, M., & Visscher, P. (2022). Chimney fire prediction based on environmental variables. In Proceedings of the ISI World Statistics Congres (pp. 000288–P. 000291).