Introduction to Missing Data Estimation

Abstract

This chapter describes in detail the problem of missing data. It also describes the different missing data patterns and mechanisms. This is followed by a discussion of the classical missing data techniques ensued by a presentation of machine learning approaches to address the missing data problem. Subsequently, machine learning optimization techniques are presented for missing data estimation tasks.