Model Selection for Integrated Recovery/Recapture Data
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Publication:3079030
DOI10.1111/j.0006-341X.2002.00841.xzbMath1210.62228OpenAlexW2116290666WikidataQ30757266 ScholiaQ30757266MaRDI QIDQ3079030
Publication date: 1 March 2011
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.0006-341x.2002.00841.x
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Cites Work
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- Bayesian model averaging: A tutorial. (with comments and a rejoinder).
- Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review
- Comparison of Akaike information criterion and consistent Akaike information criterion for model selection and statistical inference from capture-recapture studies
- Model Selection Strategy in the Analysis of Capture-Recapture Data
- Model Selection: An Integral Part of Inference
- Bayesian model discrimination for multiple strata capture-recapture data
- Integrated Recovery/Recapture Data Analysis
- Bayesian Measures of Model Complexity and Fit
- Bayes Factors
- Bayesian Analysis of Ring-Recovery Data Via Markov Chain Monte Carlo Simulation
- Evaluation of the Kullback‐Leibler Discrepancy for Model Selection in Open Population Capture‐Recapture Models
- Bayesian methods for analysing ringing data
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