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L. Billard 333ReferencesBickel, P.J. and Freedman, D.A. (1981). Some asymptotic theory for thebootstrap. The Annals of Statistics, 9:1196–1217.Billard, L. (1995). The roads travelled. 1995. Biometrics, 51:1–11.Billard, L. (1997). A voyage of discovery. Journal of American StatisticalAssociation, 92:1–12.Billard, L. (2011). Brief overview of symbolic data and analytic issues. StatisticalAnalysis and Data Mining, 4:149–156.Billard, L., and Diday, E. (2006). Symbolic Data Analysis: Conceptual Statisticsand Data Mining. Wiley,Chichester.Billard, L., and Le-Rademacher, J. (2012). Principal component analysis forinterval data. Wiley Interdisciplinary Reviews: Computational Statistics,4:535–540.Bock, H.-H. and Diday, E. (2000). Analysis of Symbolic Data: ExploratoryMethods for Extracting Statistical Information from Complex Data.Springer, Berlin.Diday, E. (1987). Introduction à l’approche symbolique en analyse desdonnées. Premières Journées Symbolique-Numérique, CEREMADE,UniversitéParis–Dauphine,Paris,France,pp.21–56.Eddy, W.F. (1986). Computers in statistical research. Statistical Science,1:419–437.Efron, B. (1979). Bootstrap methods: Another look at the jackknife. TheAnnals of Statistics, 7:1–26.Falduti, N. and Taibaly, H. (2004). Étude des retards sur les vols des compagniesaériennes. ReportCEREMADE,UniversitéParis–Dauphine,Paris,France.Geman, S. and Geman, D. (1984). Stochastic relaxation, Gibbs distributions,and the Bayesian restoration of images. IEEE Transactions on PatternAnalysis and Machine Intelligence, 6:721–744.Goodman, A. (2011). Emerging topics and challenges for statistical analysisand data mining. Statistical Analysis and Data Mining, 4:3–8.Heitjan, D.F. and Rubin, D.B. (1991). Ignorability and coarse data. TheAnnals of Statistics, 19:2244–2253.

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