Bias correction for parameter estimates of spatial point process models

DOI10.1080/00949655.2012.755976zbMath1453.62657OpenAlexW2077017288MaRDI QIDQ5219383

Rolf Turner, Adrian J. Baddeley

Publication date: 11 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2012.755976

zbMATH Keywords

discretizationnumerical integrationlogistic regressionRichardson extrapolationPoisson point processNewton-Raphson algorithmcomposite likelihoodpseudolikelihoodGibbs point processBerman-Turner device

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Inference from spatial processes (62M30) Point estimation (62F10) Generalized linear models (logistic models) (62J12)

Uses Software

• spatstat
• dobson

Cites Work

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• spatstat
• Pseudolikelihood for exponential family models of spatial point processes
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• A primer on perfect simulation for spatial point processes
• On asymptotic normality of pseudo likelihood estimates for pairwise interaction processes
• Asymptotic properties of the maximum pseudo-likelihood estimator for stationary Gibbs point processes including the Lennard-Jones model
• Spatial logistic regression and change-of-support in Poisson point processes
• Statistical Inference from Stochastic Processes
• A model for clustering
• A note on Strauss's model for clustering
• Practical Maximum Pseudolikelihood for Spatial Point Patterns
• Modelling Spatial Intensity for Replicated Inhomogeneous Point Patterns in Brain Imaging
• Approximating Point Process Likelihoods with GLIM
• Statistical Analysis and Modelling of Spatial Point Patterns

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