Principal Component Analysis of Functional Data based on Constant Numerical Characteristics

Meiling Chen, Huiwen Wang. Principal Component Analysis of Functional Data based on Constant Numerical Characteristics. In Yves Lechevallier, Gilbert Saporta, Rong Guan, Huiwen Wang, editors, Advances in Theory and Applications of High Dimensional and Symbolic Data Analysis, HDSDA 2011, October 27-30, 2011, Beihang University, Beijing, China. Volume E-25 of RNTI, pages 138-154, Hermann-Éditions, 2011. [doi]

@inproceedings{ChenW11-50,
  title = {Principal Component Analysis of Functional Data based on Constant Numerical Characteristics},
  author = {Meiling Chen and Huiwen Wang},
  year = {2011},
  url = {http://editions-rnti.fr/?inprocid=1001885},
  researchr = {https://researchr.org/publication/ChenW11-50},
  cites = {0},
  citedby = {0},
  pages = {138-154},
  booktitle = {Advances in Theory and Applications of High Dimensional and Symbolic Data Analysis, HDSDA 2011, October 27-30, 2011, Beihang University, Beijing, China},
  editor = {Yves Lechevallier and Gilbert Saporta and Rong Guan and Huiwen Wang},
  volume = {E-25},
  series = {RNTI},
  publisher = {Hermann-Éditions},
}