2 citations · 2 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.PR2024★ 2 cited
A non-homogeneous Semi-Markov model for Interval Censoring
M. N. M. van Lieshout, R. L. Markwitz
Previous approaches to modelling interval-censored data have often relied on assumptions of homogeneity in the sense that the censoring mechanism, the underlying distribution of oc…
math.PR2023
Optimal decision rules for marked point process models
M. N. M. van Lieshout
We study a Markov decision problem in which the state space is the set of finite marked point configurations in the plane, the actions represent thinnings, the reward is proportion…