Some uses if cumulants in wavelet analysis
From MaRDI portal
Publication:4345890
DOI10.1080/10485259608832666zbMath0879.62027OpenAlexW2007957458MaRDI QIDQ4345890
Publication date: 11 January 1998
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485259608832666
Density estimation (62G07) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic properties of nonparametric inference (62G20) Inference from stochastic processes (62M99)
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Cites Work
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- Approximation theorems for double orthogonal series
- Nonparametric curve estimation with time series errors
- Bandwidth selection for kernel estimate with correlated noise
- Density estimation in Besov spaces
- Approximation of the delta function by wavelets
- Wavelets on the interval and fast wavelet transforms
- Unconditional bases are optimal bases for data compression and for statistical estimation
- Local convergence for wavelet expansions
- Gibbs phenomenon for wavelets
- A CENTRAL LIMIT THEOREM OF FOURIER TRANSFORMS OF STRONGLY DEPENDENT STATIONARY PROCESSES
- SOME THEORY ON M-SMOOTHING OF TIME SERIES
- Orthonormal bases of compactly supported wavelets
- Ten Lectures on Wavelets
- Fractional integrals of stationary processes and the central limit theorem
- How to Make Wavelets
- Ideal spatial adaptation by wavelet shrinkage
- Wavelet Methods for Curve Estimation
- Jump and sharp cusp detection by wavelets
- Estimation of the mean of a stationary time series by sampling