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Mélanges de GLMs et nombre de composantes : application ... - Scor

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BIBLIOGRAPHIE<br />

Bibliographie<br />

Akaike, H. (1973), Information theory as an extension of the maximum likelihood principle,<br />

second international symposium on information theory edn, B.N P<strong>et</strong>rov and F. Csaki.<br />

Albert, F. S., Bragg, D. G. W. and Bragg, J. M. (1999), ‘Mortality rates as a function of lapse<br />

rates’, Actuarial research clearing house 1.<br />

Atkins, D. C. and Gallop, R. J. (2007), ‘Re-thinking how family researchers mo<strong>de</strong>l infrequent<br />

outcomes : A tutorial on count regression and zero-inflated mo<strong>de</strong>ls’, Journal of Family<br />

Psychology .<br />

Austin, P. C. (2007), ‘A comparison of regression trees, logistic regression, generalized additive<br />

mo<strong>de</strong>ls, and multivariate adaptive regression splines for predicting ami mortality’, Statistics<br />

in Medicine 26, 2937–2957.<br />

Bacinello, A. R. (2005), ‘Endogenous mo<strong>de</strong>l of surren<strong>de</strong>r conditions in equity-linked life insurance’,<br />

Insurance : Mathematics and Economics 37, 270–296.<br />

Bacinello, A. R., Biffis, E. and P., M. (2008), ‘Pricing life insurance contracts with early<br />

exercise features’, Journal of Computational and Applied Mathematics .<br />

Balakrishnan, N. (1991), Handbook of the Logistic Distribution, Marcel Dekker, Inc.<br />

Baudry, J. (2009), Sélection <strong>de</strong> modèle pour la classification non supervisée. Choix du <strong>nombre</strong><br />

<strong>de</strong> classes., PhD thesis, Université Paris Sud XI.<br />

Baudry, J.-P., Celeux, G. and Marin, J. (2008), Selecting mo<strong>de</strong>ls focussing on the mo<strong>de</strong>ler’s<br />

purpose, Proceedings in Computational Statistics, Physica-Verlag, Hei<strong>de</strong>lberg, pp. 337–348.<br />

Biard, R., Lefèvre, C. and Loisel, S. (2008), ‘Impact of correlation crises in risk theory :<br />

Asymptotics of finite-time ruin probabilities for heavy-tailed claim amounts when some<br />

in<strong>de</strong>pen<strong>de</strong>nce and stationarity assumptions are relaxed’, Insurance : Mathematics and Economics<br />

43(3), 412 – 421.<br />

Bickel, P. and Doksum, K. (2001), Mathematical Statistics, Vol. I, Second Edition, Prentice<br />

Hall.<br />

Biernacki, C. (2000), ‘Assessing a mixture mo<strong>de</strong>l for clustering with the integrated compl<strong>et</strong>ed<br />

likelihood’, IEEE Transactions on PAMI 22, 719–725.<br />

Biernacki, C. (2009), ‘Pourquoi les modèles <strong>de</strong> mélange pour la classification ?’, MODULAD<br />

40.<br />

Biernacki, C., Celeux, G., Govaert, G. and Langrogn<strong>et</strong>, F. (2006), ‘Mo<strong>de</strong>l-based cluster and<br />

discriminant analysis with the mixmod software’, Computational Statistics and Data Analysis<br />

51(2), 587–600.<br />

Biernacki, C. and Govaert, G. (1997), ‘Using the classification likelihood to choose the number<br />

of clusters’, Computer Science and Statistics 29, 451–457.<br />

Bluhm, W. F. (1982), ‘Cumulative antiselection theory’, Transactions of Soci<strong>et</strong>y of actuaries<br />

34.<br />

179

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