Syllabus
Clippings from the asymptotic theory - Delta Theorem and Moment Estimators
Theory of maximum likelihood
Profile, conditional and marginal likelihood
M-estimators and Z-estimators
Robust estimation
Quantile regression
EM-algorithm
Methods for missing data
Annotation
Modern methods of statistical inference based on maximum likelihood theory and its generalizations. Methods for missing observations.