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.


References in zbMATH (referenced in 31 articles )

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  1. da Fonseca, Eder Lucio; Alencar, Airlane Pereira; Morettin, Pedro Alberto: Time-varying cointegration model using wavelets (2019)
  2. Aya-Moreno, Carlos; Geenens, Gery; Penev, Spiridon: Shape-preserving wavelet-based multivariate density estimation (2018)
  3. Cardinali, Alessandro; Nason, Guy P.: Practical powerful wavelet packet tests for second-order stationarity (2018)
  4. Giacofci, Madison; Lambert-Lacroix, Sophie; Picard, Franck: Minimax wavelet estimation for multisample heteroscedastic nonparametric regression (2018)
  5. Montoril, Michel H.; Morettin, Pedro A.; Chiann, Chang: Wavelet estimation of functional coefficient regression models (2018)
  6. Simon A. C. Taylor; Timothy Park; Idris A. Eckley: Multivariate Locally Stationary Wavelet Process Analysis with the mvLSW R Package (2018) arXiv
  7. Álvarez-Liébana, J.; Bosq, D.; Ruiz-Medina, M. D.: Asymptotic properties of a component-wise ARH(1) plug-in predictor (2017)
  8. Cardinali, Alessandro; Nason, Guy P.: Locally stationary wavelet packet processes: basis selection and model fitting (2017)
  9. Taylor, Sarah L.; Eckley, Idris A.; Nunes, Matthew A.: Multivariate locally stationary 2D wavelet processes with application to colour texture analysis (2017)
  10. Zhou, Xing-cai; Xu, Ying-zhi; Lin, Jin-guan: Wavelet estimation in varying coefficient models for censored dependent data (2017)
  11. Aykroyd, Robert G.; Barber, Stuart; Miller, Luke R.: Classification of multiple time signals using localized frequency characteristics applied to industrial process monitoring (2016)
  12. Ciarleglio, Adam; Todd Ogden, R.: Wavelet-based scalar-on-function finite mixture regression models (2016)
  13. Dubossarsky, E.; Friedman, J. H.; Ormerod, J. T.; Wand, M. P.: Wavelet-based gradient boosting (2016)
  14. Decowski, Jonathan; Li, Linyuan: Wavelet-based tests for comparing two time series with unequal lengths (2015)
  15. Marcotte, Denis; Gloaguen, Erwan: Exact conditioning of Gaussian fields on wavelet coefficients (2015)
  16. Reiss, Philip T.; Huo, Lan; Zhao, Yihong; Kelly, Clare; Ogden, R. Todd: Wavelet-domain regression and predictive inference in psychiatric neuroimaging (2015)
  17. Cardinali, Alessandro: Local covariance estimation using costationarity (2014)
  18. Burr, Tom; Longo, Claire: Signal estimation using wavelet analysis of solution monitoring data for nuclear safeguards (2013)
  19. Killick, R.; Eckley, I. A.; Jonathan, P.: A wavelet-based approach for detecting changes in second order structure within nonstationary time series (2013)
  20. Bakar, M. A. A.; Green, D. A.; Metcalfe, A. V.: Comparison of spectral and wavelet estimators of transfer function for linear systems. (2012)

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