Comments on «Wavelets in statistics: A review» by A. Antoniadis

  • Jianqing Fan


I would like to congratulate Professor Antoniadis for successfully outlining the current state-of-art of wavelet applications in statistics. Since wavelet techniques were introduced to statistics in the early 90’s, the applications of wavelet techniques have mushroomed. There is a vast forest of wavelet theory and techniques in statistics and one can find himself easily lost in the jungle. The review by Antoniadis, ranging from linear wavelets to nonlinear wavelets, addressing both theoretical issues and practical relevance, gives in-depth coverage of the wavelet applications in statistics and guides one entering easily into the realm of wavelets.


Functional Data Analysis Spatial Adaptation Variable Bandwidth Thresholding Function Wavelet Technique 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Società Italiana di Statistica 1997

Authors and Affiliations

  • Jianqing Fan
    • 1
  1. 1.University of North Carolina, Chapel Hill and University of CaliforniaLos Angeles

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