WaveThresh4

wavethresh: Wavelets statistics and transforms , Performs 1, 2 and 3D real and complex-valued wavelet transforms, nondecimated transforms, wavelet packet transforms, nondecimated wavelet packet transforms, multiple wavelet transforms, complex-valued wavelet transforms, wavelet shrinkage for various kinds of data, locally stationary wavelet time series, nonstationary multiscale transfer function modeling, density estimation.

Keywords for this software

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References in zbMATH (referenced in 41 articles )

Showing results 1 to 20 of 41.
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  1. Meyer, Mark J.; Malloy, Elizabeth J.; Coull, Brent A.: Bayesian wavelet-packet historical functional linear models (2021)
  2. Yu, Yuncai; Liu, Xinsheng: Wavelet change-point estimation for the density based on biased sample (2021)
  3. Yu, Yuncai; Liu, Xinsheng: Pointwise wavelet change-points estimation for dependent biased sample (2020)
  4. da Fonseca, Eder Lucio; Alencar, Airlane Pereira; Morettin, Pedro Alberto: Time-varying cointegration model using wavelets (2019)
  5. Goin, Dana E.; Ahern, Jennifer: Identification of spikes in time series (2019)
  6. Hargreaves, Jessica K.; Knight, Marina I.; Pitchford, Jon W.; Oakenfull, Rachael J.; Chawla, Sangeeta; Munns, Jack; Davis, Seth J.: Wavelet spectral testing: application to nonstationary circadian rhythms (2019)
  7. Li, Linyuan; Lu, Kewei; Xiao, Yimin: Wavelet thresholding in fixed design regression for Gaussian random fields (2019)
  8. Aya-Moreno, Carlos; Geenens, Gery; Penev, Spiridon: Shape-preserving wavelet-based multivariate density estimation (2018)
  9. Cardinali, Alessandro; Nason, Guy P.: Practical powerful wavelet packet tests for second-order stationarity (2018)
  10. Efromovich, Sam; Wu, Jiayi: Wavelet analysis of big data contaminated by large noise in an fMRI study of neuroplasticity (2018)
  11. Giacofci, Madison; Lambert-Lacroix, Sophie; Picard, Franck: Minimax wavelet estimation for multisample heteroscedastic nonparametric regression (2018)
  12. Montoril, Michel H.; Morettin, Pedro A.; Chiann, Chang: Wavelet estimation of functional coefficient regression models (2018)
  13. Simon A. C. Taylor; Timothy Park; Idris A. Eckley: Multivariate Locally Stationary Wavelet Process Analysis with the mvLSW R Package (2018) arXiv
  14. Álvarez-Liébana, J.; Bosq, D.; Ruiz-Medina, M. D.: Asymptotic properties of a component-wise ARH(1) plug-in predictor (2017)
  15. Cardinali, Alessandro; Nason, Guy P.: Locally stationary wavelet packet processes: basis selection and model fitting (2017)
  16. Michis, Antonis A.; Nason, Guy P.: Case study: shipping trend estimation and prediction via multiscale variance stabilisation (2017)
  17. Taylor, Sarah L.; Eckley, Idris A.; Nunes, Matthew A.: Multivariate locally stationary 2D wavelet processes with application to colour texture analysis (2017)
  18. Zhou, Xing-cai; Xu, Ying-zhi; Lin, Jin-guan: Wavelet estimation in varying coefficient models for censored dependent data (2017)
  19. Aykroyd, Robert G.; Barber, Stuart; Miller, Luke R.: Classification of multiple time signals using localized frequency characteristics applied to industrial process monitoring (2016)
  20. Ciarleglio, Adam; Todd Ogden, R.: Wavelet-based scalar-on-function finite mixture regression models (2016)

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