Abstract

This presentation explores imputation techniques for missing values.

It discusses the concepts of common single and multiple imputation methods including modern methods of robust imputation,

imputation based on deep learning and imputation for complex data and it critically review some of the paradigms in imputation literature.

Additionally, the problems of outliers are discussed.