We compute explicit upper bounds on the distance between the law of a multivariate Gaussian distribution and the joint law of wavelet/needlet coefficients based on a homogeneous spherical Poisson field. In particular, we develop some results from Peccati and Zheng (2010) [42], based on Malliavin calculus and Stein's methods, to assess the rate of convergence to Gaussianity for a triangular array of needlet coefficients with growing dimensions. Our results are motivated by astrophysical and cosmological applications, in particular related to the search for point sources in Cosmic Rays data. © 2013 Elsevier Ltd.
Normal approximations for wavelet coefficients on spherical Poisson fields / Durastanti, Claudio; Marinucci, Domenico; Peccati, Giovanni. - In: JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS. - ISSN 0022-247X. - 409:1(2014), pp. 212-227. [10.1016/j.jmaa.2013.06.028]
Normal approximations for wavelet coefficients on spherical Poisson fields
Durastanti, Claudio;
2014
Abstract
We compute explicit upper bounds on the distance between the law of a multivariate Gaussian distribution and the joint law of wavelet/needlet coefficients based on a homogeneous spherical Poisson field. In particular, we develop some results from Peccati and Zheng (2010) [42], based on Malliavin calculus and Stein's methods, to assess the rate of convergence to Gaussianity for a triangular array of needlet coefficients with growing dimensions. Our results are motivated by astrophysical and cosmological applications, in particular related to the search for point sources in Cosmic Rays data. © 2013 Elsevier Ltd.File | Dimensione | Formato | |
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