An efficient implementation of the Gaussian kernel algorithm in estimating invariants and noise levels from noisy time series data

Authors
Publication date 2000
Journal Physical Review E
Volume | Issue number 4 | 61
Pages (from-to) 3750-3756
Organisations
  • Faculty of Economics and Business (FEB) - Amsterdam School of Economics Research Institute (ASE-RI)
Document type Article
Published at
https://doi.org/10.1103/PhysRevE.61.3750 (Final published version)
Published at
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