14 citations · 15 across the 3 of their papers we have counts for
4 papers
Multilingual textual data: an approach through multiple factor analysis
Kostov Blechin, Alvarez-Esteban Ramón, Bécue-Bertaut Mónica +1
This paper focuses on the analysis of open-ended questions answered in different languages. Closed-ended questions, called contextual variables, are asked to all respondents in ord…
Imputation of mixed data with multilevel singular value decomposition
François Husson, Julie Josse, Balasubramanian Narasimhan +1
Statistical analysis of large data sets offers new opportunities to better understand many processes. Yet, data accumulation often implies relaxing acquisition procedures or compou…
MIMCA: Multiple imputation for categorical variables with multiple correspondence analysis
Vincent Audigier, François Husson, Julie Josse
We propose a multiple imputation method to deal with incomplete categorical data. This method imputes the missing entries using the principal components method dedicated to categor…
A principal components method to impute missing values for mixed data
Vincent Audigier, François Husson, Julie Josse
We propose a new method to impute missing values in mixed datasets. It is based on a principal components method, the factorial analysis for mixed data, which balances the influenc…