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12/16/2022
Cox processes driven by transformed Gaussian processes on linear networks
There is a lack of point process models on linear networks. For an arbit...
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12/08/2021
Determinantal shot noise Cox processes
We present a new class of cluster point process models, which we call de...
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10/14/2021
Fitting three-dimensional Laguerre tessellations by hierarchical marked point process models
We present a general statistical methodology for analysing a Laguerre te...
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08/23/2021
Should we condition on the number of points when modelling spatial point patterns?
We discuss the practice of directly or indirectly assuming a model for t...
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11/12/2020
MCMC computations for Bayesian mixture models using repulsive point processes
Repulsive mixture models have recently gained popularity for Bayesian cl...
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04/01/2020
Globally intensity-reweighted estimators for K- and pair correlation functions
We introduce new estimators of the inhomogeneous K-function and the pair...
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03/23/2020
Approximate Bayesian inference for a spatial point process model exhibiting regularity and random aggregation
In this paper, we propose a doubly stochastic spatial point process mode...
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08/14/2019
Modelling columnarity of pyramidal cells in the human cerebral cortex
For modelling the location of pyramidal cells in the human cerebral cort...
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07/29/2019
Modelling spine locations on dendrite trees using inhomogeneous Cox point processes
Dendritic spines, which are small protrusions on the dendrites of a neur...
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03/28/2019
Quick inference for log Gaussian Cox processes with non-stationary underlying random fields
For point patterns observed in natura, spatial heterogeneity is more the...
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12/21/2018
Structured space-sphere point processes and K-functions
This paper concerns space-sphere point processes, that is, point process...
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03/08/2018
