Procédures bayésiennes pour la détection d'observations singulières : synthèse bibliographique

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11. GEISSER S. (1985). On the Predicting of Observables : a Selective Update. In Bayesian Statistics 2 Ed. J. M. Bernardo, M. H. DeGroot, D. V. Lindley and A.F M. Smith, pp 203-30. Amsterdam : North Holland. Zbl0671.62027MR862491
12. GELFAND A. E.. and SMITH A. F. M. (1991). Gibbs Sampling for Marginal Posterior Expectations. Communications in Statistics : Theory Methods, 20 (5 et 6), pp. 1747-1766. MR1131627
13. GNANADESIKAN R. (1977). Methods for Statistical Data Analysis of Multivariate Observations, New York, John Wiley and Sons, 311 pages. Zbl0403.62034MR440802
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15. GUTTMAN I (1973). Care and Handling of Univariate or Multivariate Outliers in Detecting Spuriosity-A Bayesian Approach, Technometrics, Vol 15, pp. 723-738. Zbl0269.62038MR339391
16. GUTTMAN I, KHATRI C. G. (1975). A Bayesian Approach to some Problems Involving the Detection of Spuriosity, Applied Statistics, North-Holland, Amsterdam, pp. 111-145 of Gupta, R. P. (Ed.). Zbl0331.62027MR423663
17. GUTTMAN I., FREEMAN P. R. and DUTTER R. (1978). Care and Handling of Univariate Outliers in the General Linear Model to Detect Spuriosity A Bayesian Approach, Technometrics, Vol. 20, No. 2, pp. 187-193. Zbl0408.62059MR495494
18. JUSTEL A. and PENA D. ( 1996a). Gibbs Sampling will Fail in Outlier Problem with Strong Masking. Journal of Computational and Graphical Statistics, 5, pp. 176-189. MR1405711
19. JUSTEL A. and PENA D. ( 1996b). Bayesian Unmasking in Linear Models. Core Discussion Paper 9619, Université Catholique de Louvain. 
20. KASS R. and RAFTERY A. (1995). Bayes Factors. Journal of the American Statistical Association, 90, pp.773-95. Zbl0846.62028
21. KITAGAWA G. (1984). Bayesian Analysis of Outliers via Akaike's Predictive Likelihood of a Model. Communications in Statistics : Simulation and Computation., 13, pp. 107-126. Zbl0565.62016
22. MCCULLOCH C. E. and MEETER D. (1983). Discussion of Outliers by Beckman, R. J. and Cook, R. D., Technometrics, 25, pp. 152-155. MR724598
23. MERWE A. J. and BOTHA T. J. (1993). A Bayesian Approach to Outlier Detection in Regression Analysis Using Gibbs Sampling. South African Statistics Journal, 27, pp. 181-202. Zbl0850.62296MR1278255
24. PEÑA D. and GUTTMAN I. (1993). Comparing Probabilistic Methods for Outlier Detection in Linear Models, Biometrika, 80, 3, pp 603-10. Zbl0800.62443MR1248025
25. PEÑA D. and TlAO G. C. (1992). Bayesian Robustness Functions for Linear Models. Bayesian Statistics, 4 (Edited by M. Bernardo, J. O. Berger, A. P. Dawid and A. F. M. Smith), pp. 365-388. Oxford University Press. MR1380286
26. PETTIT L. I. (1988). Bayes Methods for Outliers in Exponential Samples, Journal of the Royal. Statistical Society, Ser. B, 50, pp. 371-380. MR970973
27. PETTIT L. I. (1992). Bayes Factors for Outlier Models Using the Device of Imaginary Observations, Journal of the American Statistical Association, Vol. 87, No. 418, pp. 541-545. 
28. PETTIT L. I. (1994). Bayesian Approaches to the Detection of Outliers in Poisson Samples, Communication in Statistics : Theory and Methods, 23(6), pp. 1785-1795. Zbl0825.62168MR1281237
29. PETTIT L. I. and SMITH A. F. M. (1983). Bayesian Model Comparaison in Presence of Outliers. Bulletin International Statistics Institute., 50, pp. 292-309. Zbl0576.62047MR820727
30. PETTIT L. I. and SMITH A. F. M. (1985). Outliers and Influential Observations in Linear Models. In Bayesian Statististics 2, eds. J. M. Bernardo, M. H. DeGroot, D. V. Lindley and A. F. M. Smith, pp. 473-494. Amsterdam : North-Holland. Zbl0671.62031MR862500
31. SPIEGELHALTER D. J. and SMITH A. F. M. (1982). Bayes Factor for Linear and Log-Linear Models With Vague Prior Information, Journal of the Royal Statistical Society, Ser. B, 44, pp. 377-387. Zbl0502.62032MR693237
32. VARBANOV A. (1998). Bayesian Approach to Outliers Detection in Multivariate Normal Samples and Linear Models. Communication in Statistics : Theory and Methods, 27(3), pp.-547-557. Zbl0895.62034MR1619018
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