Approximate Bayesian inference for a spatial point process model exhibiting regularity and random aggregation

DOI10.1111/SJOS.12509OpenAlexW3113268434MaRDI QIDQ5872952

Author name not available (Why is that?)

Publication date: 5 January 2023

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2003.10490

zbMATH Keywords

Strauss processapproximate Bayesian computationlog Gaussian Cox processmodel comparisonposterior predictiondoubly stochastic process

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Bayesian Wombling for Spatial Point Processes

Recommendations

• Title not available (Why is that?) 👍 👎
• Title not available (Why is that?) 👍 👎
• Bayesian inference for spatially inhomogeneous pairwise interacting point processes 👍 👎
• Approximate methods in Bayesian point process spatial models 👍 👎
• Bayesian inference and model assessment for spatial point patterns using posterior predictive samples 👍 👎
• Bayesian Semiparametric Intensity Estimation for Inhomogeneous Spatial Point Processes 👍 👎
• A Sequential Point Process Model and Bayesian Inference for Spatial Point Patterns with Linear Structures 👍 👎
• Regularized Estimating Equations for Model Selection of Clustered Spatial Point Processes 👍 👎
• Bayesian Wombling for Spatial Point Processes 👍 👎

This page was built for publication: Approximate Bayesian inference for a spatial point process model exhibiting regularity and random aggregation

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q5872952)