Preface; Contents; Contributors; Incomplete Data and the Generation Mechanisms; Incomplete Data and the EM Algorithm; Statistical Models and the EM Algorithm; Robust Model and the EM Algorithm; Latent Structure Model and the EM Algorithm; Extensions of the EM Algorithm; Convergence Speed and Acceleration of the EM Algorithm; EM Algorithm in Neural Network Learning; Markov Chain Monte Carlo; Appendix A: SOLASTM 3.0 for Missing Data Analysis; Appendix B: l EM; Index
Summary
This text provides a comprehensive description of a method of constructing a statistical model when only incomplete data is available. It then proposes specific estimation algorithms for solving various individual incomplete data problems
