Bayesian population estimation for small sample capture-recapture data using noninformative priors

DOI10.1016/J.JSPI.2006.03.004zbMath1107.62024OpenAlexW2072481275MaRDI QIDQ872062

Xiaoyin Wang, Chong Z. He, Dongchu Sun

Publication date: 27 March 2007

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2006.03.004

zbMATH Keywords

simulationsMarkov chain Monte Carlo (MCMC)improper priorsmall samplenoninformative priorcapture-recapture modelsBayesian estimatepopulation estimation

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15)

Related Items (11)

An improved integrated likelihood population size estimation in dual-record system ⋮ Likelihood-based inference for population size in a capture-recapture experiment with varying probabilities from occasion to occasion ⋮ On the integrated maximum likelihood estimators for a closed population capture–recapture model with unequal capture probabilities ⋮ Reference Bayesian methods for recapture models with heterogeneity ⋮ Bayesian analysis of one‐inflated models for elusive population size estimation ⋮ A comparative study of Bayes estimators of closed population size from capture-recapture data ⋮ A unified framework for de-duplication and population size estimation (with discussion) ⋮ Objective Bayesian analysis for a capture-recapture model ⋮ On the estimation of homogeneous population size from a complex dual-record system ⋮ On the estimation of population size under dependent dual-record system: an adjusted profile-likelihood approach ⋮ Posterior analysis of \(n\) in the binomial \((n,p)\) problem with both parameters unknown -- with applications to quantitative nanoscopy

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