The EM Algorithm and Related Statistical Models
2003
Incomplete data and the generation mechanisms type of incomplete data and its analysis statistical models for incomplete data analysis of data with missing values missing data in multinominal data algorithms for MLE for multivariate normal datawith missing values scoring method EM algorithm basics of EM algorithm extension of EM algorithm and acceleration EM algorithm as an optimization tool robust model and outlier detection scale mixture model of normal distributions multivariate andcontaminated normal distribution robust tobit model robust factor model statistical model with latent variables latent structure model and EM algorithm latent class model and latent trait model structured equations model with latent variables extensions of EM algorithm ECM algorithm ECME algorithm optimal EM algorithm MCEM algorithm covergence speed of EM algorithm convergence speed comparisons of EM and other optimization algorithms quasi Newton method acceleration methods of the EMalgorithm neural networks and EM algorithm EM algorithm in neural networks geometric interpretation of EM algorithm Marcov chain Monte Carlo Bayes estimation Marcov chain Metropolis-Hastings algorithm data augmentation algorithm poor man's dataaugmentation algorithm Gibbs sampling algorithm. Appendices: SOLAS for missing data analysis Lem.