Student, who passed the course satisfactorily will be able to:
- re-formulate likelihood functions when straight forward numerical MLE is not possible
- derive the likelihood functions in complex settings
- develop hypothesis testing methods
- know which information matrix formula to apply in complex settings
- calculate robust estimators