A method for approximate fully bayesian analysis of parameters

DOI10.1080/03610919708813432zbMath0925.62113OpenAlexW1981172887MaRDI QIDQ4387690

Håvard Rue, Anne Randi Syversveen

Publication date: 13 May 1998

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610919708813432

zbMATH Keywords

parameter estimationMarkov chain Monte Carlomarked point processreservoir characterization

Mathematics Subject Classification ID

Bayesian inference (62F15)

Cites Work

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• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
• Bayesian computation and stochastic systems. With comments and reply.
• Markov chains for exploring posterior distributions. (With discussion)
• Fully Bayesian Reconstructions From Single-Photon Emission Computed Tomography Data
• Conditioning of Marked Point Processes within a Bayesian Framework
• On Parameter Estimation for Pairwise Interaction Point Processes
• Monte Carlo sampling methods using Markov chains and their applications

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