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10/21/2022
Non-parametric adaptive bandwidth selection for kernel estimators of spatial intensity functions
We propose a new fully non-parametric two-step adaptive bandwidth select...
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08/25/2022
Infill asymptotics for logistic regression estimators for spatio-temporal point processes
This paper discusses infill asymptotics for logistic regression estimato...
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08/19/2022
Exploring seismic hazard in the Groningen gas field using adaptive kernel smoothing and inhomogeneous summary statistics
The discovery of gas in Groningen in 1959 has been a massive boon to the...
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12/14/2021
Data-driven chimney fire risk prediction using machine learning and point process tools
Chimney fires constitute one of the most commonly occurring fire types. ...
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08/24/2021
State estimation for aoristic models
Aoristic data can be described by a marked point process in time in whic...
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07/15/2020
Testing biodiversity using inhomogeneous summary statistics
McGill's theory of biodiversity is based upon three axioms: individuals ...
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04/10/2019
Infill asymptotics and bandwidth selection for kernel estimators of spatial intensity functions
We investigate the asymptotic mean squared error of kernel estimators of...
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10/20/2017