wavethresh

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 123 articles )

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  1. Cardinali, Alessandro; Nason, Guy P.: Practical powerful wavelet packet tests for second-order stationarity (2018)
  2. 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)
  3. Giacofci, Madison; Lambert-Lacroix, Sophie; Picard, Franck: Minimax wavelet estimation for multisample heteroscedastic nonparametric regression (2018)
  4. 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)
  5. Mansouri, Behzad: Wavelet analysis of uniformly time-modulated processes (2018)
  6. Montoril, Michel H.; Morettin, Pedro A.; Chiann, Chang: Wavelet estimation of functional coefficient regression models (2018)
  7. Norwood, Ben; Killick, Rebecca: Long memory and changepoint models: a spectral classification procedure (2018)
  8. Afshari, Mahmoud: Nonlinear wavelet shrinkage estimator of nonparametric regularity regression function via cross-validation with simulation study (2017)
  9. Álvarez-Liébana, J.; Bosq, D.; Ruiz-Medina, M. D.: Asymptotic properties of a component-wise ARH(1) plug-in predictor (2017)
  10. Cardinali, Alessandro; Nason, Guy P.: Locally stationary wavelet packet processes: basis selection and model fitting (2017)
  11. McGinnity, K.; Varbanov, R.; Chicken, E.: Cross-validated wavelet block thresholding for non-Gaussian errors (2017)
  12. Pierre-André Cornillon and Nicolas Hengartner and Eric Matzner-Løber: Iterative Bias Reduction Multivariate Smoothing in R: The ibr Package (2017)
  13. Sanyal, Nilotpal; Ferreira, Marco A. R.: Bayesian wavelet analysis using nonlocal priors with an application to fMRI analysis (2017)
  14. Taylor, Sarah L.; Eckley, Idris A.; Nunes, Matthew A.: Multivariate locally stationary 2D wavelet processes with application to colour texture analysis (2017)
  15. Zhou, Xing-cai; Xu, Ying-zhi; Lin, Jin-guan: Wavelet estimation in varying coefficient models for censored dependent data (2017)
  16. Aykroyd, Robert G.; Barber, Stuart; Miller, Luke R.: Classification of multiple time signals using localized frequency characteristics applied to industrial process monitoring (2016)
  17. Chau, Joris; von Sachs, Rainer: Functional mixed effects wavelet estimation for spectra of replicated time series (2016)
  18. Dubossarsky, E.; Friedman, J. H.; Ormerod, J. T.; Wand, M. P.: Wavelet-based gradient boosting (2016)
  19. Efromovich, Sam: Minimax theory of nonparametric hazard rate estimation: efficiency and adaptation (2016)
  20. Autin, Florent; Claeskens, Gerda; Freyermuth, Jean-Marc: Asymptotic performance of projection estimators in standard and hyperbolic wavelet bases (2015)

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