Bagplots, boxplots and outlier detection for functional data

 

We propose some new tools for visualizing functional data and for identifying functional outliers. The proposed tools make use of robust principal component analysis, data depth and highest density regions. We compare the proposed outlier detection methods with the existing “functional depth” method, and show that our methods have better performance on identifying outliers in French male age-specific mortality data.

Cite

@inbook{HS08,
  author    = {Rob J Hyndman and Han Lin Shang},
  booktitle = {Functional and Operatorial Statistics},
  chapter   = 31,
  doi       = {10.1007/978-3-7908-2062-1_31},
  editor    = {S Dabo-Niang and F Ferraty},
  pages     = {201--207},
  publisher = {Springer},
  title     = {Bagplots, boxplots and outlier detection for functional data},
  year      = 2008
}