Convergence of posteriors for discretized log Gaussian Cox processes.

DOI10.1016/j.spl.2003.10.014zbMath1102.60045OpenAlexW1980733172MaRDI QIDQ1427710

Rasmus Waagepetersen

Publication date: 14 March 2004

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2003.10.014

zbMATH Keywords

Monte CarloBayesian inferenceDiscretizationPoint processesPosteriorLog Gaussian Cox process

Mathematics Subject Classification ID

Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Related Items (7)

Bayesian dynamic models for space-time point processes ⋮ Optimal design in geostatistics under preferential sampling ⋮ Two-Step Estimation for Inhomogeneous Spatial Point Processes ⋮ Identifying crash risk factors and high risk locations on an interstate network ⋮ Approximate methods in Bayesian point process spatial models ⋮ An adaptive approach to Langevin MCMC ⋮ Bayesian Variable Selection Methods for Log-Gaussian Cox Processes

Cites Work

• Space-time Multi Type Log Gaussian Cox Processes with a View to Modelling Weeds
• Spatiotemporal Prediction for Log-Gaussian Cox Processes
• Log Gaussian Cox Processes
• Unnamed Item

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