Bayesian inference for spatially inhomogeneous pairwise interacting point processes
type: Item
instance of: scholarly article
title: Bayesian inference for spatially inhomogeneous pairwise interacting point processes
zbMATH Open document ID: 1429.62424
author: Matthew A. Bognar
published in: Computational Statistics and Data Analysis
publication date: 2008-11-26T00:00:00Z
Mathematics Subject Classification ID: 62M30
Mathematics Subject Classification ID: 60G55
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 65C05
zbMATH DE Number: 5374142
zbMATH Keywords: Bayesian inference
zbMATH Keywords: spatial point pattern
zbMATH Keywords: Gibbs point process
zbMATH Keywords: inhomogeneous pairwise interacting point process
zbMATH Keywords: Metropolis-Hastings algorithm
zbMATH Keywords: reversible jump MCMC
zbMATH Keywords: importance sampling
describes a project that uses: spatial
MaRDI profile type: Publication
full work available at URL: j.csda.2004.04.008
OpenAlex ID: W1989899286
cites work: Practical Maximum Pseudolikelihood for Spatial Point Patterns
cites work: Point process limits of lattice processes
cites work: Q4510997
cites work: Exponential spaces and counting processes
cites work: On Monte Carlo methods for estimating ratios of normalizing constants
cites work: Q4792001
cites work: A nonparametric estimator for pairwise-interaction point processes
cites work: On Parameter Estimation for Pairwise Interaction Point Processes
cites work: Q3218877
cites work: Simulating normalizing constants: From importance sampling to bridge sampling to path sampling
cites work: Inference from iterative simulation using multiple sequences
cites work: Q4322393
cites work: Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
cites work: Computing Dirichlet Tessellations in the Plane
cites work: Monte Carlo sampling methods using Markov chains and their applications
cites work: Non-parametric Bayesian Estimation of a Spatial Poisson Intensity
cites work: Bayesian smoothing in the estimation of the pair potential function of Gibbs point processes
cites work: A note on Strauss's model for clustering
cites work: Perfect simulation using dominating processes on ordered spaces, with application to locally stable point processes
cites work: Likelihood Inference for Gibbs Processes in the Analysis of Spatial Point Patterns
cites work: Equation of State Calculations by Fast Computing Machines
cites work: Q4450533
cites work: Estimation of interaction potentials of spatial point patterns through the maximum likelihood procedure
cites work: Q3702342
cites work: Likelihood estimation of soft-core interaction potentials for Gibbsian point patterns
cites work: Q4148580
cites work: Statistical Inference for Spatial Processes
cites work: Q4224688
cites work: A model for clustering
cites work: Estimator for the pair–potential of a gibbsian point process
cites work: Markov Point Processes and Their Applications
DOI: 10.1016/J.CSDA.2004.04.008
description: scientific article; zbMATH DE number 5374142