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- W78449534 abstract "This paper is a written version of the talk Julie Josse delivered at the 44 Journees de Statistique (Bruxelles,2012), when being awarded the Marie-Jeanne Laurent-Duhamel prize for her Ph.D. dissertation by the French StatisticalSociety. It proposes an overview of some results, proposed in Julie Josse and Francois Husson’s papers, as well as newchallenges in the field of handling missing values in exploratory multivariate data analysis methods and especially inprincipal component analysis (PCA). First we describe a regularized iterative PCA algorithm to provide point estimatesof the principal axes and components and to overcome the major issue of overfitting. Then, we give insight in theparameters variance using a non parametric multiple imputation procedure. Finally, we discuss the problem of thechoice of the number of dimensions and we detail cross-validation approximation criteria. The proposed methodologyis implemented in the R package missMDA." @default.
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- W78449534 date "2012-01-01" @default.
- W78449534 modified "2023-09-30" @default.
- W78449534 title "Handling missing values in exploratory multivariate data analysis methods" @default.
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