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Monte Carlo Inference for State–Space Models of Wild Animal Populations

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  • Ken B. Newman
  • Carmen Fernández
  • Len Thomas
  • Stephen T. Buckland

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  • Ken B. Newman & Carmen Fernández & Len Thomas & Stephen T. Buckland, 2009. "Monte Carlo Inference for State–Space Models of Wild Animal Populations," Biometrics, The International Biometric Society, vol. 65(2), pages 572-583, June.
    • Handle: RePEc:bla:biomet:v:65:y:2009:i:2:p:572-583
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2008.01073.x
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    Cited by:

    1. Murray, Lawrence M., 2015. "Bayesian State-Space Modelling on High-Performance Hardware Using LibBi," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i10).
    2. 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.
    3. Dunham, Kylee & Grand, James B., 2016. "Effects of model complexity and priors on estimation using sequential importance sampling/resampling for species conservation," Ecological Modelling, Elsevier, vol. 340(C), pages 28-36.

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