Introduction to Missing Data -- Estimation of Missing Data Using Neural Networks and Genetic Algorithms -- A Hybrid Approach to Missing Data: Bayesian Neural Networks, Principal Component Analysis and Genetic Algorithms -- Maximum Expectation Algorithms for Missing Data Estimation -- Missing Data Estimation Using Rough Sets -- Support Vector Regression for Missing Data Estimation -- Committee of Networks for Estimating Missing Data -- Online Approaches to Missing Data Estimation -- Missing Data Approaches to Classification -- Optimization Methods for Estimation of Missing Data -- Estimation of Missing Data Using Neural Networks and Decision Trees -- Control of Biomedical System Using Missing Data Approaches -- Emerging Missing Data Estimation Problems: Heteroskedasticity; Dynamic Programming and Impact of Missing Data -- About the Author -- Index.