1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ME2024
XGBoostPP: Tree-based Estimation of Point Process Intensity Functions
C. Lu, Y. Guan, M. N. M. van Lieshout +1
We propose a novel tree-based ensemble method, named XGBoostPP, to nonparametrically estimate the intensity of a point process as a function of covariates. It extends the use of gr…
math.ST2022★ 1 cited
Infill asymptotics for logistic regression estimators for spatio-temporal point processes
M. N. M. van Lieshout, C. Lu
This paper discusses infill asymptotics for logistic regression estimators for spatio-temporal point processes whose intensity functions are of log-linear form. We establish strong…
stat.ME2021
Data-driven chimney fire risk prediction using machine learning and point process tools
C. Lu, M. N. M. van Lieshout, M. de Graaf +1
Chimney fires constitute one of the most commonly occurring fire types. Precise prediction and prompt prevention are crucial in reducing the harm they cause. In this paper, we deve…