Abstract
The aim of this paper is to establish rates of convergence to Gaussianity for wavelet coefficients on circular Poisson random fields. This result is established by using the Stein–Malliavin techniques introduced by Peccati and Zheng (Electron J Probab 15(48):1487–1527, 2010) and the concentration properties of so-called Mexican needlets on the circle.
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Acknowledgments
The author whishes to thank D. Marinucci for the useful discussions and E. Calfa for the accurate reading.
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This research is partially supported by European Research Council Grant No. 277742 PASCAL and by DFG-GRK 2131.
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Durastanti, C. Quantitative central limit theorems for Mexican needlet coefficients on circular Poisson fields. Stat Methods Appl 25, 651–673 (2016). https://doi.org/10.1007/s10260-016-0352-0
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DOI: https://doi.org/10.1007/s10260-016-0352-0
Keywords
- Malliavin calculus
- Stein’s method
- Multidimensional normal approximations
- Poisson process
- Circular wavelets
- Circular and directional data
- Mexican needlets
- Nearly-tight frames