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Closed-form likelihoods for Arnason--Schwarz models

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  • R. King

Abstract

We provide a general framework for the computationally efficient analysis, both Bayesian and classical, of integrated multi-site recovery/recapture models in the presence of individual-level covariates by extending the basic Arnason--Schwarz models and deriving closed-form likelihood expressions, together with corresponding sufficient statistics. Copyright Biometrika Trust 2003, Oxford University Press.

Suggested Citation

  • R. King, 2003. "Closed-form likelihoods for Arnason--Schwarz models," Biometrika, Biometrika Trust, vol. 90(2), pages 435-444, June.
  • Handle: RePEc:oup:biomet:v:90:y:2003:i:2:p:435-444
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    Cited by:

    1. McCrea, R.S., 2012. "Sufficient statistic likelihood construction for age- and time-dependent multi-state joint recapture and recovery data," Statistics & Probability Letters, Elsevier, vol. 82(2), pages 357-359.
    2. S. A. Sisson & Y. Fan, 2009. "Towards automating model selection for a mark–recapture–recovery analysis," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(2), pages 247-266, May.
    3. Blanca Sarzo & Ruth King & David Conesa & Jonas Hentati-Sundberg, 2021. "Correcting Bias in Survival Probabilities for Partially Monitored Populations via Integrated Models," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 26(2), pages 200-219, June.
    4. Diana J. Cole, 2019. "Parameter redundancy and identifiability in hidden Markov models," METRON, Springer;Sapienza Università di Roma, vol. 77(2), pages 105-118, August.
    5. Rachel S. McCrea & Byron J. T. Morgan, 2011. "Multistate Mark–Recapture Model Selection Using Score Tests," Biometrics, The International Biometric Society, vol. 67(1), pages 234-241, March.
    6. Hannah Worthington & Rachel S. McCrea & Ruth King & Richard A. Griffiths, 2019. "Estimation of Population Size When Capture Probability Depends on Individual States," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 24(1), pages 154-172, March.

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