Analyzing spatial point patterns subject to measurement error

DOI10.1214/10-BA504zbMath1330.65028OpenAlexW2079116687MaRDI QIDQ2635194

Alan E. Gelfand, Avishek Chakraborty

Publication date: 11 February 2016

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ba/1340369794

zbMATH Keywords

Markov chain Monte Carlo nonhomogeneous Poisson process Gaussian mixture model measurement error model intensity surface Neymann-Scott process

Mathematics Subject Classification ID

Bayesian inference (62F15) Monte Carlo methods (65C05)

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