Online Outlier Detection for Functional Data
ApplyProject 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.
Program -
Statistics
Division -
Computer, Electrical and Mathematical Sciences and Engineering
Field of Study -
Statistics, Data Science, Environmental Science, Computer Science, Applied Mathematics
About the
Researcher
Ying Sun
Desired Project Deliverables
At the end of the internship, the student is expected to implement the designed application and submit a written report or a poster