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of 2 158
pro vyhledávání: '"Wavelet regression"'
Publikováno v:
Biometrika, 2001 Mar 01. 88(1), 291-298.
Externí odkaz:
https://www.jstor.org/stable/2673687
We use hyperbolic wavelet regression for the fast reconstruction of high-dimensional functions having only low dimensional variable interactions. Compactly supported periodic Chui-Wang wavelets are used for the tensorized hyperbolic wavelet basis. In
Externí odkaz:
http://arxiv.org/abs/2108.13197
Autor:
Chau, Joris, von Sachs, Rainer
Publikováno v:
In Computational Statistics and Data Analysis October 2022 174
Autor:
Martinsen, Mattias
Patents are a fundamental part of scientific and engineering work, ensuringprotection of inventions owned by individuals or organizations. Patents areusually made public 18 months after being filed to a patent office, whichmeans that current publicly
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-335330
Publikováno v:
Advances in Neural Information Processing Systems 2018, 8987-8997
We present a novel approach for nonparametric regression using wavelet basis functions. Our proposal, $\texttt{waveMesh}$, can be applied to non-equispaced data with sample size not necessarily a power of 2. We develop an efficient proximal gradient
Externí odkaz:
http://arxiv.org/abs/1903.04631
Akademický článek
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Autor:
Xu, Jianhua
Publikováno v:
MethodsX, 2018, Volume 5, Pages 561-568
Previous studies showed that hydro-climate processes are stochastic and complex systems, and it is difficult to discover the hidden patterns in the all non-stationary data and thoroughly understand the hydro-climate relationships. For the purpose to
Externí odkaz:
http://arxiv.org/abs/1806.06194
Autor:
Chau, Joris, von Sachs, Rainer
This paper develops intrinsic wavelet denoising methods for surfaces of Hermitian positive definite matrices, with in mind the application to nonparametric estimation of the time-varying spectral matrix of a multivariate locally stationary time serie
Externí odkaz:
http://arxiv.org/abs/1808.08764
Publikováno v:
The Annals of Statistics, 2005 Apr 01. 33(2), 698-729.
Externí odkaz:
https://www.jstor.org/stable/3448604
Publikováno v:
Journal of the American Statistical Association, 2001 Jun 01. 96(454), 398-408.
Externí odkaz:
https://www.jstor.org/stable/2670278