Integrated data analysis in the presence of emigration and mark loss

DOI10.1198/jabes.2009.08008zbMath1306.62326OpenAlexW1994949732MaRDI QIDQ2260106

Sarah Wanless, Toby J. Reynolds, Morten Frederiksen, Michael P. Harris, John Harwood, Ruth King

Publication date: 5 March 2015

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1198/jabes.2009.08008

zbMATH Keywords

population dynamicsstate-space modelBayesian inferenceMarkov chain Monte Carlo (MCMC)combined datacommon guillemot (uria aalge)

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Related Items (9)

Bringing it all together: multi-species integrated population modelling of a breeding community ⋮ Integrated population models: achieving their potential ⋮ A generalised likelihood framework for partially observed capture-recapture-recovery models ⋮ A Bayesian approach to fitting Gibbs processes with temporal random effects ⋮ An integrated population model from constant effort bird-ringing data ⋮ Multi-site integrated population modelling ⋮ A capture-recapture model with~double-marking, live and dead encounters, and heterogeneity of reporting due to~auxiliary mark loss ⋮ Parameter redundancy in discrete state-space and integrated models ⋮ Correcting bias in survival probabilities for partially monitored populations via integrated models

Uses Software

• WinBUGS

Cites Work

• Inference from iterative simulation using multiple sequences
• Integrating Mark-Recapture-Recovery and Census Data to Estimate Animal Abundance and Demographic Parameters
• Model Selection for Integrated Recovery/Recapture Data
• The potential of integrated modelling in conservation biology: A case study of the black-footed albatross (Phoebastria nigripes)
• Non-Linear State Space Modelling of Fisheries Biomass Dynamics by Using Metropolis-Hastings within-Gibbs Sampling
• Integrated Recovery/Recapture Data Analysis
• Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)

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