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Related papers: Asymptotics for spherical needlets

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In a recent paper, we analyzed the properties of a new kind of spherical wavelets (called needlets) for statistical inference procedures on spherical random fields; the investigation was mainly motivated by applications to cosmological…

Statistics Theory · Mathematics 2009-06-12 P. Baldi , G. Kerkyacharian , D. Marinucci , D. Picard

We consider the correlation structure of the random coefficients for a wide class of wavelet systems on the sphere (Mexican needlets) which were recently introduced in the literature by Geller and Mayeli (2007). We provide necessary and…

Statistics Theory · Mathematics 2010-04-30 Xiaohong Lan , Domenico Marinucci

We study the asymptotic behaviour of needlets-based approximate maximum likelihood estimators for the spectral parameters of Gaussian and isotropic spherical random fields. We prove consistency and asymptotic Gaussianity, in the…

Statistics Theory · Mathematics 2015-04-27 Claudio Durastanti , Xiaohong Lan , Domenico Marinucci

We investigate here a generalized construction of spherical wavelets/needlets which admits extra-flexibility in the harmonic domain, i.e., it allows the corresponding support in multipole (frequency) space to vary in more general forms than…

Probability · Mathematics 2021-09-14 Claudio Durastanti , Domenico Marinucci , Anna Paola Todino

We recall Mexican needlets from [5]. We derive an estimate for certain types of Legendre series, which we apply to the statistical properties of Mexican needlets. More precisely, we shall show that, under isotropy and Gaussianity…

Functional Analysis · Mathematics 2009-04-09 Azita Mayeli

In this paper we establish a multiscale approximation for random fields on the sphere using spherical needlets --- a class of spherical wavelets. We prove that the semidiscrete needlet decomposition converges in mean and pointwise senses…

Numerical Analysis · Mathematics 2016-12-13 Quoc T. Le Gia , Ian H. Sloan , Yu Guang Wang , Robert S. Womerlsey

Scale-discretised wavelets yield a directional wavelet framework on the sphere where a signal can be probed not only in scale and position but also in orientation. Furthermore, a signal can be synthesised from its wavelet coefficients…

Information Theory · Computer Science 2017-08-17 Jason D. McEwen , Claudio Durastanti , Yves Wiaux

In recent years, a rapidly growing literature has focussed on the construction of wavelet systems to analyze functions defined on the sphere. Our purpose in this paper is to generalize these constructions to situations where sections of…

Classical Analysis and ODEs · Mathematics 2010-06-22 Daryl Geller , Domenico Marinucci

This paper provides quantitative Central Limit Theorems for nonlinear transforms of spherical random fields, in the high frequency limit. The sequences of fields that we consider are represented as smoothed averages of spherical Gaussian…

Probability · Mathematics 2018-01-09 Valentina Cammarota , Domenico Marinucci

The construction of needlet-type wavelets on sections of the spin line bundles over the sphere has been recently addressed in Geller and Marinucci (2008), and Geller et al. (2008,2009). Here we focus on an alternative proposal for needlets…

Classical Analysis and ODEs · Mathematics 2013-03-12 Daryl Geller , Domenico Marinucci

Compared with the traditional spherical harmonics, the spherical needlets are a new generation of spherical wavelets that possess several attractive properties. Their double localization in both spatial and frequency domains empowers them…

Methodology · Statistics 2015-08-25 Minjie Fan

Flexible bandwidth needlets provide a localized multiscale framework with scale-adaptive frequency resolution, enabling effective analysis of spherical Poisson random fields exhibiting spatial inhomogeneity and scale variation. We establish…

Probability · Mathematics 2025-07-08 Mattia Castaldo , Claudio Durastanti

We consider sequences of needlet random fields defined as weighted averaged forms of spherical Gaussian eigenfunctions. Our main result is a Central Limit Theorem in the high energy setting, for the boundary lengths of their excursion sets.…

Probability · Mathematics 2020-11-06 Radomyra Shevchenko , Anna Paola Todino

We consider the statistical analysis of random sections of a spin fibre bundle over the sphere. These may be thought of as random fields that at each point p in $S^2$ take as a value a curve (e.g. an ellipse) living in the tangent plane at…

Statistics Theory · Mathematics 2010-04-30 Daryl Geller , Xiaohong Lan , Domenico Marinucci

Needlets have been recognized as state-of-the-art tools to tackle spherical data, due to their excellent localization properties in both spacial and frequency domains. This paper considers developing kernel methods associated with the…

Machine Learning · Computer Science 2015-09-11 Shaobo Lin

We prove a CLT for skewness and kurtosis of the wavelets coefficients of a stationary field on the torus. The results are in the framework of the fixed-domain asymptotics, i.e. we refer to observations of a single field which is sampled at…

Statistics Theory · Mathematics 2008-07-25 Paolo Baldi , Gérard Kerkyacharian , Domenico Marinucci , Dominique Picard

This paper presents the asymptotic analysis of random lattices in high dimensions to clarify the distance properties of the considered lattices. These properties not only indicate the asymptotic value for the distance between any pair of…

Information Theory · Computer Science 2016-03-02 Rongrong Qian , Yuan Qi

In this note, we consider a fixed vector field $V$ on $S^2$ and study the distribution of points which lie on the nodal set (of a random spherical harmonic) where $V$ is also tangent. We show that the expected value of the corresponding…

Spectral Theory · Mathematics 2018-09-12 Suresh Eswarathasan

Flexible bandwidth needlets offer a versatile multiscale framework for analyzing functions on the sphere. A key element in their construction is the dilation sequence, which controls how the multipole consecutive scales are spaced and…

Statistics Theory · Mathematics 2025-07-11 Claudio Durastanti

This paper is concerned with density estimation of directional data on the sphere. We introduce a procedure based on thresholding on a new type of spherical wavelets called {\it needlets}. We establish a minimax result and prove its…

Statistics Theory · Mathematics 2010-04-30 P. Baldi , G. Kerkyacharian , D. Marinucci , D. Picard
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