Course
General statistical methods (STA903)
Depending on the composition of the PhD candidate group, the following topics will be covered with varying degree of depth: statistical inference theory, asymptotic theory, computational statistical methods, robust estimation and non-parametric methods. Further, selected topics in time series analysis, stochastic processes, survival analysis, spatial statistics or statistical methods on manifolds.
Dette er emnebeskrivelsen for studieåret 2025-2026
Fakta
Emnekode
STA903
Vekting (stp)
10
Semester undervisningsstart
Autumn
Undervisningsspråk
English, Norwegian
Antall semestre
1
Vurderingssemester
Autumn
Timeplan
Litteratur
Content
Depending on the composition of the PhD candidate group, the following topics will be covered with varying degree of depth: statistical inference theory, asymptotic theory, computational statistical methods, robust estimation and non-parametric methods. Further, selected topics in time series analysis, stochastic processes, survival analysis, spatial statistics or statistical methods on manifolds.
Learning outcome
After completing the course, the candidate should have acquired knowledge regarding central concepts and ideas within advanced statistical theory and applications of such theory. The candidate should be able to apply such knowledge to understand advanced statistical texts and as a tool in their own research.
Forkunnskapskrav
Ingen
Anbefalte forkunnskaper
A master's degree in statistics, or a related subject which includes a variety of statistics courses.
Exam
Fagperson(er)
Head of Department:
Bjørn Henrik AuestadCourse teacher:
Jan Terje KvaløyCourse coordinator:
Jan Terje KvaløyCourse teacher:
Tore Selland KleppeCourse coordinator:
Tore Selland KleppeCourse teacher:
Jörn SchulzMethod of work
Lectures and guided self-study.
Åpent for
Emneevaluering
There must be an early dialogue between the course supervisor, the student union representative and the students. The purpose is feedback from the students for changes and adjustments in the course for the current semester.In addition, a digital course evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.
The course description is retrieved from FS (Felles studentsystem). Version 1
