Online Outlier Detection for Functional Data

Online Outlier Detection for Functional Data

Internship Description

The student will learn state-of-the-art statistical methods for functional data analysis and spatial statistics, explore various approaches of functional data ranking and outlier detection, especially for images and surfaces, develop algorithms for online outlier detection with applications to spatial deformation detection and brain signal analysis.


At the end of the internship, the student is expected to implement the designed application and submit a written report or a poster​

Faculty Name

Ying Sun

Field of Study

Statistics, Data Science, Environmental Science, Computer Science, Applied Mathematics