Wavelet Techniques in Multifractal Analysis
By Stéphane Jaffard. 2004
291 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/bf3dceae1c01fa5a92a5523989c6fc60e3d4821f
How researchers see this paper
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In Economics and Econometrics
- Bruno Lashermes
- Patrice Abry
- D. Van de Ville
- Juliane Britz
- C. Michel
- Roberto F. Leonarduzzi
- María Eugenia Torres
- Stéphane G. Roux
Citations in the corpus
- EEG microstate sequences in healthy humans at rest reveal scale-free dynamics (2010, methodology): “Wavelet leaders (80) allow us to estimate the structure function in a stable way even for negative powers q.”
- p-exponent and p-leaders, Part II: Multifractal Analysis. Relations to Detrended Fluctuation Analysis (2015, methodology): “and from (11) the definition of the classical Hölder exponent [19] |X(a+ x0)− Px0(a+ x0)| ∼ C|a|0, |a| → 0.”
- Wavelet Leaders in Multifractal Analysis (2006, methodology): “If p < 0, then ζ(4) f (p) cannot be given any more a function space interpretation; however, one can prove that it is still independent of the wavelet basis (in the Schwartz class), by using the same arguments as those developed in [29] in order to prove that ζ(3) f (p) is robust.”