R package 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. (Source: http://cran.r-project.org/web/packages)

References in zbMATH (referenced in 135 articles )

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  1. Gómez, Luz M.; Porto, Rogério F.; Morettin, Pedro A.: Nonparametric regression with warped wavelets and strong mixing processes (2021)
  2. Xing, Zhengrong; Carbonetto, Peter; Stephens, Matthew: Flexible signal denoising via flexible empirical Bayes shrinkage (2021)
  3. Jörg Polzehl, Kostas Papafitsoros, Karsten Tabelow: Patch-Wise Adaptive Weights Smoothing in R (2020) not zbMATH
  4. Killick, Rebecca; Knight, Marina I.; Nason, Guy P.; Eckley, Idris A.: The local partial autocorrelation function and some applications (2020)
  5. Baranowski, Rafal; Chen, Yining; Fryzlewicz, Piotr: Narrowest-over-threshold detection of multiple change points and change-point-like features (2019)
  6. Goin, Dana E.; Ahern, Jennifer: Identification of spikes in time series (2019)
  7. Wang, Yafei; Kong, Linglong; Jiang, Bei; Zhou, Xingcai; Yu, Shimei; Zhang, Li; Heo, Giseon: Wavelet-based LASSO in functional linear quantile regression (2019)
  8. Cardinali, Alessandro; Nason, Guy P.: Practical powerful wavelet packet tests for second-order stationarity (2018)
  9. García, Constantino A.; Otero, Abraham; Félix, Paulo; Presedo, Jesús; Márquez, David G.: Simultaneous estimation of deterministic and fractal stochastic components in non-stationary time series (2018)
  10. Giacofci, Madison; Lambert-Lacroix, Sophie; Picard, Franck: Minimax wavelet estimation for multisample heteroscedastic nonparametric regression (2018)
  11. Hargreaves, Jessica K.; Knight, Marina I.; Pitchford, Jon W.; Oakenfull, Rachael J.; Davis, Seth J.: Clustering nonstationary circadian rhythms using locally stationary wavelet representations (2018)
  12. Mansouri, Behzad: Wavelet analysis of uniformly time-modulated processes (2018)
  13. Montoril, Michel H.; Morettin, Pedro A.; Chiann, Chang: Wavelet estimation of functional coefficient regression models (2018)
  14. Norwood, Ben; Killick, Rebecca: Long memory and changepoint models: a spectral classification procedure (2018)
  15. Simon A. C. Taylor; Timothy Park; Idris A. Eckley: Multivariate Locally Stationary Wavelet Process Analysis with the mvLSW R Package (2018) arXiv
  16. Afshari, Mahmoud: Nonlinear wavelet shrinkage estimator of nonparametric regularity regression function via cross-validation with simulation study (2017)
  17. Álvarez-Liébana, J.; Bosq, D.; Ruiz-Medina, M. D.: Asymptotic properties of a component-wise ARH(1) plug-in predictor (2017)
  18. Cardinali, Alessandro; Nason, Guy P.: Locally stationary wavelet packet processes: basis selection and model fitting (2017)
  19. Ludger Evers; Tim Heaton: Locally Adaptive Tree-Based Thresholding Using the treethresh Package in R (2017) not zbMATH
  20. McGinnity, K.; Varbanov, R.; Chicken, E.: Cross-validated wavelet block thresholding for non-Gaussian errors (2017)

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