14 citations · 15 across the 2 of their papers we have counts for
2 papers
stat.ME2015★ 1 cited
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…
stat.AP2013★ 14 cited
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…