Reference Bayesian methods for recapture models with heterogeneity

DOI10.1007/s11749-009-0147-9zbMath1203.62028OpenAlexW1998215067WikidataQ59397168 ScholiaQ59397168MaRDI QIDQ619169

Luca Tardella, Alessio Farcomeni

Publication date: 22 January 2011

Published in: Test (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11749-009-0147-9

zbMATH Keywords

heterogeneityBayesian inferencemodel choicepopulation sizedefault prior

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Nonparametric inference (62G99)

Related Items (8)

Latent class recapture models with flexible behavioural response ⋮ Reference Bayesian methods for recapture models with heterogeneity ⋮ Upper bound estimators of the population size based on ordinal models for capture‐recapture experiments ⋮ Identifiability and inferential issues in capture-recapture experiments with heterogeneous detection probabilities ⋮ Heterogeneity and behavioral response in continuous time capture-recapture, with application to street cannabis use in Italy ⋮ A general class of recapture models based on the conditional capture probabilities ⋮ Objective Bayesian analysis for a capture-recapture model ⋮ On the design of closed recapture experiments

Uses Software

• R

Cites Work

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• Reference Bayesian methods for recapture models with heterogeneity
• A normal limit theorem for moment sequences
• Bayesian population estimation for small sample capture-recapture data using noninformative priors
• A universal prior for integers and estimation by minimum description length
• Principal representations and canonical moment sequences for distributions on an interval
• Bayesian model averaging: A tutorial. (with comments and a rejoinder).
• Local sensitivity of posterior expectations
• Identifiability and inferential issues in capture-recapture experiments with heterogeneous detection probabilities
• Nonidentifiability of Population Size from Capture‐Recapture Data with Heterogeneous Detection Probabilities
• Log-Linear Models for Capture-Recapture
• Ordered group reference priors with application to the multinomial problem
• Adaptive Rejection Metropolis Sampling within Gibbs Sampling
• A new Bayesian method for nonparametric capture-recapture models in presence of heterogeneity
• The Use of Mixed Logit Models to Reflect Heterogeneity in Capture‐Recapture Studies
• A General Theory for Modeling Capture-Recapture Data from a Closed Population
• Bayes Factors
• Extreme nth moments for distributions on [0, 1 and the inverse of a moment space map]
• The range of the (n + 1)th moment for distributions on [0, 1]
• A Characterization of Hypergeometric Distributions
• Estimating the Size of a Multinomial Population
• Monte Carlo strategies in scientific computing
• The case for objective Bayesian analysis

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