Capture-Recapture Estimation Using Finite Mixtures of Arbitrary Dimension

DOI10.1111/j.1541-0420.2009.01289.xzbMath1192.62251OpenAlexW2016230748WikidataQ51658406 ScholiaQ51658406MaRDI QIDQ3576950

Yu Hayakawa, Richard A. Arnold, Paul S. F. Yip

Publication date: 3 August 2010

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2009.01289.x

zbMATH Keywords

heterogeneitymixture distributionBayesian model averagingcapturereversible jump MCMCclosed populationsrecapture

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15) Numerical analysis or methods applied to Markov chains (65C40) Reliability and life testing (62N05)

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Cites Work

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• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
• On the Bayesian analysis of population size
• Mixture Models for Estimating the Size of a Closed Population When Capture Rates Vary among Individuals
• Nonidentifiability of Population Size from Capture‐Recapture Data with Heterogeneous Detection Probabilities
• On the Bayesian Estimation of a Closed Population Size in the Presence of Heterogeneity and Model Uncertainty
• A New Mixture Model for Capture Heterogeneity
• GOODNESS OF FIT TESTS FOR HETEROGENEITY IN A CAPTURE-RECAPTURE EXPERIMENT
• Efficiency of martingale methods in recapture studies
• Nonparametric MLE under Two Closed Capture-Recapture Models with Heterogeneity
• Model Selection: An Integral Part of Inference
• Dealing With Label Switching in Mixture Models
• Computational and Inferential Difficulties with Mixture Posterior Distributions
• The Use of Mixed Logit Models to Reflect Heterogeneity in Capture‐Recapture Studies
• Unified Maximum Likelihood Estimates for Closed Capture–Recapture Models Using Mixtures
• Estimating Population Size for Capture-Recapture Data When Capture Probabilities Vary by Time and Individual Animal
• A note on the difficulties associated with the analysis of capture-recapture experiments with heterogeneous capture probabilities
• A new look at the statistical model identification

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