AWS

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 39 articles )

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  1. Tian, MaoZai; Chan, Ngai Hang: Adaptive quantile regression with precise risk bounds (2017)
  2. Geffray, S.; Klutchnikoff, N.; Vimond, M.: Illumination problems in digital images. A statistical point of view (2016)
  3. Ernest, Jan; Bühlmann, Peter: Marginal integration for nonparametric causal inference (2015)
  4. Kolbe, Jens; Schulz, Rainer; Wersing, Martin; Werwatz, Axel: Identifying Berlin’s land value map using adaptive weights smoothing (2015)
  5. Becker, Saskia M. A.; Mathé, Peter: A different perspective on the propagation-separation approach (2013)
  6. Wang, Jiaping; Zhu, Hongtu; Fan, Jianqing; Giovanello, Kelly; Lin, Weili: Multiscale adaptive smoothing models for the hemodynamic response function in fMRI (2013)
  7. Dalalyan, Arnak S.; Salmon, Joseph: Sharp oracle inequalities for aggregation of affine estimators (2012)
  8. Deledalle, Charles-Alban; Duval, Vincent; Salmon, Joseph: Non-local methods with shape-adaptive patches (NLM-SAP) (2012)
  9. Frick, Klaus; Marnitz, Philipp; Munk, Axel: Statistical multiresolution Dantzig estimation in imaging: fundamental concepts and algorithmic framework (2012)
  10. Hotz, Thomas; Marnitz, Philipp; Stichtenoth, Rahel; Davies, Laurie; Kabluchko, Zakhar; Munk, Axel: Locally adaptive image denoising by a statistical multiresolution criterion (2012)
  11. Skup, Martha; Zhu, Hongtu; Zhang, Heping: Multiscale adaptive marginal analysis of longitudinal neuroimaging data with time-varying covariates (2012)
  12. Thon, Kevin; Rue, Håvard; Skrøvseth, Stein Olav; Godtliebsen, Fred: Bayesian multiscale analysis of images modeled as Gaussian Markov random fields (2012)
  13. Cho, Haeran; Fryzlewicz, Piotr: Multiscale interpretation of taut string estimation and its connection to unbalanced Haar wavelets (2011)
  14. Li, Yimei; Zhu, Hongtu; Shen, Dinggang; Lin, Weili; Gilmore, John H.; Ibrahim, Joseph G.: Multiscale adaptive regression models for neuroimaging data (2011)
  15. Su, Yu-Nan; Tian, Mao-Zai: Adaptive local linear quantile regression (2011)
  16. Katkovnik, Vladimir; Foi, Alessandro; Egiazarian, Karen; Astola, Jaakko: From local kernel to nonlocal multiple-model image denoising (2010) ioport
  17. Qiu, Peihua; Mukherjee, Partha Sarathi: Edge structure preserving image denoising (2010)
  18. Wang, Lizhe; Von Laszewski, Gregor; Younge, Andrew; He, Xi; Kunze, Marcel; Tao, Jie; Fu, Cheng: Cloud computing: a perspective study (2010)
  19. Qiu, Peihua: Jump-preserving surface reconstruction from noisy data (2009)
  20. 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)

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Further publications can be found at: http://www.wias-berlin.de/research/rts/adasmooth/index.jsp?lang=1#publications