Inférence bayésienne de la taille d'une population de saumons par utilisation de sources multiples d'information
Revue de Statistique Appliquée (2003)
- Volume: 51, Issue: 3, page 5-38
- ISSN: 0035-175X
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top- Baglinière J.-L., Champigneulle A. (1986), Population estimates of juvenile Atlantic salmon, Salmo salar, as indices of smolt production. J. Fish Biol.29467-482.
- Berger J.O. (1980), Statistical décision theory and Bayesian analysis. Springer Verlag, New York. MR804611
- Bernardo J.M., Smith A.F.M. (1994), Bayesian theory. John Wiley and Sons, Londres. Zbl0796.62002MR1274699
- Bernier J., Parent E., Boreux J.J. (2000), Statistique pour l'environnement. Traitement bayésien de l'incertitude. Tec et Doc, Lavoisier.
- Brooks S.P. (1998), Markov chain Monte Carlo method and its application. The Statistician47(1) 69- 100.
- Casella G., George E.I. (1992), Explaining the Gibbs Sampler. The American Statistician46(3) 167-174. MR1183069
- Clobert J., Pradel R. (1993), Modelling some demographic parameters in animal populations studied by capture-mark-recapture : review and perspectives In Biometrie et Environnement. Edited by J-D. Lebreton and B. Asselain. Masson: Paris. pp. 151-174.
- Gelman A., Rubin D.B. (1992), Inference from iterative simulation using multiple sequences. Statist. Sci.7457-511.
- Gelman A., Carlin J.B., Stern H.S., Rubin D.B. (1995), Bayesian data analysis. Chapman and Hall, Londres. Zbl0914.62018MR1385925
- Geman S., Geman D. (1984), Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images. IEEE Transactions on Pattern Analysis and Machine Intelligence6721-741. Zbl0573.62030
- Gilks W.R., Thomas A., Spielgelhalter D.J. (1994), A language and program for complex Bayesian modelling. Statistica43169-178.
- Guyon X. (1995), Random Fieds on a network : modeling, statistics and applications, Springer. Zbl0839.60003MR1344683
- Hastings W.K. (1970), Monte Carlo sampling methods using Markov chains and their application. Biometrika5797-109. Zbl0219.65008
- Kass R.E., Carlin B.P., Gelman A., Neal R.M. (1996), Markov Chain Monte Carlo in practice : a roundtable discussion. Proceedings of the Joint Statistical Meetings. pp.1- 8.
- Metropolis N., Rosenbluth A.W., Rosenbluth M.N., Teller E. (1953), Equations of state calculations by fast computing machines. J. Chem. Phys.211087-1092.
- Meyer R., Millar R.B. (1999), BUGS in Bayesian stock Assessments. Can. J; Fish. Aquat. Sci.561078-1087.
- Meyer R., Millar R.B. (2000), Non-linear State Space Modelling of Fisheries Biomass Dynamics by using Metropolis-Hastings within-Gibbs Sampling. Journal of the Royal Statistical Society C49327-342. Zbl0959.62113MR1824544
- Potter E.C.E., Crozier W.W. (2000), A perspective on the marine survival of Atlantic salmon. 19-36. The ocean life of Atlantic salmon - Environmental and biological factors influencing survival. In Fishing News Books. Edited by Mills D., Blackwell Science, Oxford.
- Punt A.E., Hilborn R. (1997), Fisheries stock assessment and décision analysis : the Bayesian approach. Reviews in Fish Biology and Fisheries735-63.
- Robert C.P., Casella G. (1999), Monte-Carlo Statistical Methods. Springer. Zbl1096.62003MR1707311
- Seber G.A.F. (1982), The estimation of animal abundance and related parameters. Charles Griffin and Co. Ltd, Londres et High Wycombe. Zbl0272.92017MR686755
- Spiegelhalter D.J., Thomas A., Best N.G. (1996a), Computation on Bayesian Graphical Models. In Bayesian Statistics5. pp. 407-425 Edited by J.M. Bernardo, J.O. Berger, A. P. Dawid and A.F.M. Smith. Oxford University Press. MR1425417
- Spiegelhalter D.J., Thomas A., Best N.G., Gilks W.R. (1996b), BUGS 0.5, Bayesian Inference using Gibbs Sampling. Manual Cambridge, UK : MRC Biostatistics Unit.
- Tanner M.A. (1996), Tools for statistical inference : methods for the exploration of posterior distribution and likelihood functions. Springer Verlag, New York. Zbl0846.62001MR1396311