Bayesian modeling on continuously marked spatial point patterns

DOI10.1007/s00180-007-0073-9zbMath1224.62092OpenAlexW2026738096MaRDI QIDQ626215

Matthew A. Bognar

Publication date: 22 February 2011

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-007-0073-9

zbMATH Keywords

reversible jump Markov chain Monte CarloGibbs marked point processsampling from posterior

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Applications of statistics to environmental and related topics (62P12) Numerical analysis or methods applied to Markov chains (65C40) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Related Items (1)

A Bayesian mark interaction model for analysis of tumor pathology images

Uses Software

• boa
• pyuvdata

Cites Work

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