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Modeling Individual Effects in the Cormack–Jolly–Seber Model: A State–Space Formulation

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  • J. Andrew Royle

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  • J. Andrew Royle, 2008. "Modeling Individual Effects in the Cormack–Jolly–Seber Model: A State–Space Formulation," Biometrics, The International Biometric Society, vol. 64(2), pages 364-370, June.
    • Handle: RePEc:bla:biomet:v:64:y:2008:i:2:p:364-370
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2007.00891.x
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    References listed on IDEAS

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    1. Sturtz, Sibylle & Ligges, Uwe & Gelman, Andrew, 2005. "R2WinBUGS: A Package for Running WinBUGS from R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 12(i03).
    2. Robert M. Dorazio & J. Andrew Royle, 2003. "Mixture Models for Estimating the Size of a Closed Population When Capture Rates Vary among Individuals," Biometrics, The International Biometric Society, vol. 59(2), pages 351-364, June.
    3. J. Andrew Royle, 2006. "Site Occupancy Models with Heterogeneous Detection Probabilities," Biometrics, The International Biometric Society, vol. 62(1), pages 97-102, March.
    4. Brent A. Coull & Alan Agresti, 1999. "The Use of Mixed Logit Models to Reflect Heterogeneity in Capture-Recapture Studies," Biometrics, The International Biometric Society, vol. 55(1), pages 294-301, March.
    5. S. J. Bonner & C. J. Schwarz, 2006. "An Extension of the Cormack–Jolly–Seber Model for Continuous Covariates with Application to Microtus pennsylvanicus," Biometrics, The International Biometric Society, vol. 62(1), pages 142-149, March.
    6. Evan Cooch & Emmanuelle Cam & William Link, 2002. "Occam's shadow: Levels of analysis in evolutionary ecology--where to next?," Journal of Applied Statistics, Taylor & Francis Journals, vol. 29(1-4), pages 19-48.
    7. Shirley Pledger & Kenneth H. Pollock & James L. Norris, 2003. "Open Capture-Recapture Models with Heterogeneity: I. Cormack-Jolly-Seber Model," Biometrics, The International Biometric Society, vol. 59(4), pages 786-794, December.
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    2. Robert M. Dorazio, 2020. "Objective prior distributions for Jolly‐Seber models of zero‐augmented data," Biometrics, The International Biometric Society, vol. 76(4), pages 1285-1296, December.
    3. Axel Finke & Ruth King & Alexandros Beskos & Petros Dellaportas, 2019. "Efficient Sequential Monte Carlo Algorithms for Integrated Population Models," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 24(2), pages 204-224, June.
    4. Meritxell Genovart & Roger Pradel, 2019. "Transience effect in capture-recapture studies: The importance of its biological meaning," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-13, September.
    5. Riki Herliansyah & Ruth King & Stuart King, 2022. "Laplace Approximations for Capture–Recapture Models in the Presence of Individual Heterogeneity," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 27(3), pages 401-418, September.
    6. Gimenez, Olivier & Lebreton, Jean-Dominique & Gaillard, Jean-Michel & Choquet, Rémi & Pradel, Roger, 2012. "Estimating demographic parameters using hidden process dynamic models," Theoretical Population Biology, Elsevier, vol. 82(4), pages 307-316.

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