Procédures bayésiennes pour la détection d'observations singulières : synthèse bibliographique
Journal de la Société française de statistique, Tome 142 (2001) no. 2, pp. 41-64. 
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     journal = {Journal de la Soci\'et\'e fran\c{c}aise de statistique},
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Ondo, Jean-Cléophas; Ouarda, Taha B. M. J.; Fortin, Vincent; Bobée, Bernard. Procédures bayésiennes pour la détection d'observations singulières : synthèse bibliographique. Journal de la Société française de statistique, Tome 142 (2001) no. 2, pp. 41-64. http://www.numdam.org/item/JSFS_2001__142_2_41_0/

Barnett V. and Lewis T. (1984). Outliers in Statistical Data, Wiley, Second edition, 463 pages. | MR | Zbl

Barnett V. and Lewis T. (1994). Outliers in Statistical Data, Wiley, Third edition, 584 pages. | MR | Zbl

Bayarri M. J. and Morales J. (2000). Bayesian Measures of Surprise for Outlier Detection. Journal Statistical Planning and Inference, to appear. | Zbl

Box G. E. P. and Tiao G. C. (1968). A Bayesian Approach to some Outlier Problems. Biometrika, 55, pp. 119-129. | MR | Zbl

Chaloner K. and Brant R. (1988). A Bayesian Approach to Outlier Detection and Residual Analysis. Biometrika, 75, pp. 651-659. | MR | Zbl

De Alba E. and Van Ryzin J. (1979). An Empirical Bayes Test for Multiple Outliers, University Statistics Center, Technical Report No. 35, New Mexico State University.

De Finetti B. (1961). The Bayesian Approach to the Rejection of Outliers, Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability, Vol. 1, pp. 199-210. | MR | Zbl

Dutter R. and Guttman I. (1979). On Estimation in the Linear Model when Spurious Observations are Present - a Bayesian Approach. Communication in Statistics : Theory and Methods., 8, pp. 611 -635. | MR | Zbl

Edgeworth F. Y. (1887). On Discordant Observations. Philosophical Magazine, 23, Ser. 5, pp. 364-375. | JFM

Freeman P. R. (1980). On the Number of Outliers in Data From a Linear Model (with discussion), in Bayesian Statistics, Ed. J. M. Bernardo, M. H. DeGroot, D. V. Lindley and A. F.M. Smith, Valencia, Spain : Valencia University Press, pp. 349-365. | MR

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. | MR | Zbl

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. | MR

Gnanadesikan R. (1977). Methods for Statistical Data Analysis of Multivariate Observations, New York, John Wiley and Sons, 311 pages. | MR | Zbl

Grubbs F. E. (1969). Procedures for Detecting Outlying Observations in Samples, Technometrics, Vol. 11, pp. 1-21.

Guttman I (1973). Care and Handling of Univariate or Multivariate Outliers in Detecting Spuriosity-A Bayesian Approach, Technometrics, Vol 15, pp. 723-738. | MR | Zbl

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.). | MR | Zbl

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. | MR | Zbl

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. | MR

Justel A. and Pena D. ( 1996b). Bayesian Unmasking in Linear Models. Core Discussion Paper 9619, Université Catholique de Louvain.

Kass R. and Raftery A. (1995). Bayes Factors. Journal of the American Statistical Association, 90, pp.773-95. | Zbl

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. | Zbl

Mcculloch C. E. and Meeter D. (1983). Discussion of Outliers by Beckman, R. J. and Cook, R. D., Technometrics, 25, pp. 152-155. | MR

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. | MR | Zbl

Peña D. and Guttman I. (1993). Comparing Probabilistic Methods for Outlier Detection in Linear Models, Biometrika, 80, 3, pp 603-10. | MR | Zbl

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. | MR

Pettit L. I. (1988). Bayes Methods for Outliers in Exponential Samples, Journal of the Royal. Statistical Society, Ser. B, 50, pp. 371-380. | MR

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.

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. | MR | Zbl

Pettit L. I. and Smith A. F. M. (1983). Bayesian Model Comparaison in Presence of Outliers. Bulletin International Statistics Institute., 50, pp. 292-309. | MR | Zbl

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. | MR | Zbl

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. | MR | Zbl

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. | MR | Zbl

Verdinelli I and Wasserman L. (1992). Bayesian Analysis of Outlier Problem Using the Gibbs Sampler. Statistics and Computing, 1, pp. 105-117.