R package aws: Adaptive Weights Smoothing. The package contains R-functions implementing the Propagation-Separation Approach to adaptive smoothing as described in J. Polzehl and V. Spokoiny (2006), Propagation-Separation Approach for Local Likelihood Estimation, Prob. Theory and Rel. Fields, 135(3):335–362. and J. Polzehl and V. Spokoiny (2004) Spatially adaptive regression estimation: Propagation-separation approach, WIAS-Preprint 998.

References in zbMATH (referenced in 31 articles )

Showing results 1 to 20 of 31.
Sorted by year (citations)

1 2 next

  1. Kolbe, Jens; Schulz, Rainer; Wersing, Martin; Werwatz, Axel: Identifying Berlin’s land value map using adaptive weights smoothing (2015)
  2. Becker, Saskia M.A.; Mathé, Peter: A different perspective on the propagation-separation approach (2013)
  3. Wang, Jiaping; Zhu, Hongtu; Fan, Jianqing; Giovanello, Kelly; Lin, Weili: Multiscale adaptive smoothing models for the hemodynamic response function in fMRI (2013)
  4. Dalalyan, Arnak S.; Salmon, Joseph: Sharp oracle inequalities for aggregation of affine estimators (2012)
  5. Deledalle, Charles-Alban; Duval, Vincent; Salmon, Joseph: Non-local methods with shape-adaptive patches (NLM-SAP) (2012)
  6. Frick, Klaus; Marnitz, Philipp; Munk, Axel: Statistical multiresolution Dantzig estimation in imaging: fundamental concepts and algorithmic framework (2012)
  7. Hotz, Thomas; Marnitz, Philipp; Stichtenoth, Rahel; Davies, Laurie; Kabluchko, Zakhar; Munk, Axel: Locally adaptive image denoising by a statistical multiresolution criterion (2012)
  8. Thon, Kevin; Rue, Håvard; Skrøvseth, Stein Olav; Godtliebsen, Fred: Bayesian multiscale analysis of images modeled as Gaussian Markov random fields (2012)
  9. Cho, Haeran; Fryzlewicz, Piotr: Multiscale interpretation of taut string estimation and its connection to unbalanced Haar wavelets (2011)
  10. Su, Yu-Nan; Tian, Mao-Zai: Adaptive local linear quantile regression (2011)
  11. Katkovnik, Vladimir; Foi, Alessandro; Egiazarian, Karen; Astola, Jaakko: From local kernel to nonlocal multiple-model image denoising (2010)
  12. Qiu, Peihua; Mukherjee, Partha Sarathi: Edge structure preserving image denoising (2010)
  13. Wang, Lizhe; Von Laszewski, Gregor; Younge, Andrew; He, Xi; Kunze, Marcel; Tao, Jie; Fu, Cheng: Cloud computing: a perspective study (2010)
  14. Qiu, Peihua: Jump-preserving surface reconstruction from noisy data (2009)
  15. Franke, Jürgen; Dahlhaus, Rainer; Polzehl, Jörg; Spokoiny, Vladimir; Steidl, Gabriele; Weickert, Joachim; Berdychevski, Anatoly; Didas, Stephan; Halim, Siana; Mrázek, Pavel; Rao, Suhasini Subba; Tadjuidje, Joseph: Structural adaptive smoothing procedures (2008)
  16. Garbe, Christoph S.; Krajsek, Kai; Pavlov, Pavel; Andres, Björn; Mühlich, Matthias; Stuke, Ingo; Mota, Cicero; Böhme, Martin; Haker, Martin; Schuchert, Tobias; Scharr, Hanno; Aach, Til; Barth, Erhardt; Mester, Rudolf; Jähne, Bernd: Nonlinear analysis of multi-dimensional signals: local adaptive estimation of complex motion and orientation patterns (2008)
  17. Kervrann, Charles; Boulanger, Jér^ome: Local adaptivity to variable smoothness for exemplar-based image regularization and representation (2008)
  18. Qiu, Peihua: A nonparametric procedure for blind image deblurring (2008)
  19. Abramov, Vyacheslav M.; Klebaner, Fima C.: Estimation and prediction of a non-constant volatility (2007)
  20. Gijbels, Irène; Lambert, Alexandre; Qiu, Peihua: Jump-preserving regression and smoothing using local linear fitting: a compromise (2007)

1 2 next

Further publications can be found at: