activity
20102024
most citedA J-function for inhomogeneous spatio-temporal point processes

5 citations · 22 across the 11 of their papers we have counts for

collaborators

11 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…

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…

math.ST2017★ 5 cited

Nearest-neighbour Markov point processes on graphs with Euclidean edges

M. N. M. van Lieshout

We define nearest-neighbour point processes on graphs with Euclidean edges and linear networks. They can be seen as the analogues of renewal processes on the real line. We show tha…

stat.ME2017

A multi-scale area-interaction model for spatio-temporal point patterns

A. Iftimi, M. N. M. van Lieshout, F. Montes

Models for fitting spatio-temporal point processes should incorporate spatio-temporal inhomogeneity and allow for different types of interaction between points (clustering or regul…

stat.ME2016★ 5 cited

Bandwidth selection for kernel estimators of the spatial intensity function

O. Cronie, M. N. M. van Lieshout

We discuss and compare various approaches to the problem of bandwidth selection for kernel estimators of intensity functions of spatial point processes. We also propose a new metho…

math.ST2013★ 5 cited

A J-function for inhomogeneous spatio-temporal point processes

O. Cronie, M. N. M. van Lieshout

We propose a new summary statistic for inhomogeneous intensity-reweighted moment stationary spatio-temporal point processes. The statistic is defined through the n-point correlatio…

math.ST2013

A spectral mean for point sampled closed curves

M. N. M. van Lieshout

We propose a spectral mean for closed curves described by sample points on its boundary subject to mis-alignment and noise. First, we ignore mis-alignment and derive maximum likeli…

stat.ME2010★ 4 cited

A J-function for inhomogeneous point processes

M. N. M. van Lieshout

We propose new summary statistics for intensity-reweighted moment stationary point processes that generalise the well known J-, empty space, and nearest-neighbour distance distribu…