Non-Linear State Space Modelling of Fisheries Biomass Dynamics by Using Metropolis-Hastings within-Gibbs Sampling

DOI10.1111/1467-9876.00195zbMath0959.62113OpenAlexW2166378513WikidataQ123417539 ScholiaQ123417539MaRDI QIDQ4512434

Russell B. Millar, Renate Meyer

Publication date: 2 May 2001

Published in: Journal of the Royal Statistical Society Series C: Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/1467-9876.00195

zbMATH Keywords

nonlinear state space modelsMarkov chain Monte Carlo samplingfish stock assessmentsurplus production modeltuna

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15) Environmental economics (natural resource models, harvesting, pollution, etc.) (91B76)

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