Analysis of Capture–Recapture Models with Individual Covariates Using Data Augmentation

DOI10.1111/j.1541-0420.2008.01038.xzbMath1159.62340OpenAlexW2161942564WikidataQ31153085 ScholiaQ31153085MaRDI QIDQ3623767

J. Andrew Royle

Publication date: 23 April 2009

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2008.01038.x

zbMATH Keywords

Bayesian analysisMarkov chain Monte Carloheterogeneitypopulation sizecluster sizenonignorable missing dataabundance estimationindividual covariateswinbugs

Mathematics Subject Classification ID

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Cites Work

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• Nonidentifiability of Population Size from Capture‐Recapture Data with Heterogeneous Detection Probabilities
• Logistic Regression in Capture-Recapture Models
• On the statistical analysis of capture experiments
• Nonparametric MLE under Two Closed Capture-Recapture Models with Heterogeneity
• The Use of Mixed Logit Models to Reflect Heterogeneity in Capture‐Recapture Studies
• Estimating Population Size in Logistic Capture-Recapture Models with a Known Sex Ratio
• The use of auxiliary variables in capture-recapture modelling: An overview
• Bayesian Models for Categorical Data
• Site Occupancy Models with Heterogeneous Detection Probabilities
• Methods and Criteria for Model Selection
• Estimating the Size of a Multinomial Population
• To Model or Not To Model? Competing Modes of Inference for Finite Population Sampling
• Missing-Data Methods for Generalized Linear Models

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