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Statistical inverse problems and geometric "wavelet" construction

By Gérard Kerkyacharian

Appears in collection : Thematic month on statistics - Week 2 : Mathematical statistics and inverse problems / Mois thématique sur les statistiques - Semaine 2 : statistiques mathématiques et problèmes inverses

In the fist part of the talk, we will look to some statistical inverse problems for which the natural framework is no more an Euclidian one. In the second part we will try to give the initial construction of (not orthogonal) wavelets -of the 80 - by Frazier, Jawerth,Weiss, before the Yves Meyer ORTHOGONAL wavelets theory. In the third part we will propose a construction of a geometric wavelet theory. In the Euclidian case, Fourier transform plays a fundamental role. In the geometric situation this role is given to some "Laplacian operator" with some properties. In the last part we will show that the previous theory could help to revisit the topic of regularity of Gaussian processes, and to give a criterium only based on the regularity of the covariance operator.

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Citation data

  • DOI 10.24350/CIRM.V.18926703
  • Cite this video Kerkyacharian, Gérard (10/02/2016). Statistical inverse problems and geometric "wavelet" construction. CIRM. Audiovisual resource. DOI: 10.24350/CIRM.V.18926703
  • URL https://dx.doi.org/10.24350/CIRM.V.18926703

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Bibliography

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