The objectives of the course are to provide each year a comprehensive exposition of a topic in mathematical statistics that is of special interest for current research in this field.
Main themes
The course covers a specific topic of mathematical statistics that may include, e.g., advanced time series meth-ods (spectral analysis, inference for locally stationary processes, ), ill-posed inverse problems, advances in functional data analysis,
Content and teaching methods
Contents
The contents depend on the special topic selected each year. That topic will be communicated during the first semester to the student secretary.
Methods
Lectures
Take-home readings
Oral presentations by students
Other information (prerequisite, evaluation (assessment methods), course materials recommended readings, ...)
Pré-requis:
Analyse statistique (STAT2030) and ideally a course on nonparametric curve estimation (e.g. STAT2150, STAT3120, )
Evaluation:
Oral presentations during the semester, and oral or written exam covering the lectures.
Support:
Transparencies and supplementary literature.