unbalhaar

unbalhaar: Function estimation via Unbalanced Haar wavelets. The package implements top-down and bottom-up algorithms for nonparametric function estimation in Gaussian noise using Unbalanced Haar wavelets.

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 12 articles )

Showing results 1 to 12 of 12.
Sorted by year (citations)

  1. Rajaganapathy, Sivaraman; Melbourne, James; Salapaka, Murti V.: Change detection using an iterative algorithm with guarantees (2022)
  2. Li, Housen; Guo, Qinghai; Munk, Axel: Multiscale change-point segmentation: beyond step functions (2019)
  3. Fryzlewicz, Piotr: Tail-greedy bottom-up data decompositions and fast multiple change-point detection (2018)
  4. McGinnity, K.; Varbanov, R.; Chicken, E.: Cross-validated wavelet block thresholding for non-Gaussian errors (2017)
  5. Song, Rui; Banerjee, Moulinath; Kosorok, Michael R.: Asymptotics for change-point models under varying degrees of mis-specification (2016)
  6. Timmermans, Catherine; von Sachs, Rainer: A novel semi-distance for measuring dissimilarities of curves with sharp local patterns (2015)
  7. Frick, Klaus; Munk, Axel; Sieling, Hannes: Multiscale change point inference. With discussion and authors’ reply (2014)
  8. Fryzlewicz, Piotr: Wild binary segmentation for multiple change-point detection (2014)
  9. Fryzlewicz, Piotr: Time-threshold maps: using information from wavelet reconstructions with all threshold values simultaneously (2012)
  10. Cho, Haeran; Fryzlewicz, Piotr: Multiscale interpretation of taut string estimation and its connection to unbalanced Haar wavelets (2011)
  11. Baek, Changryong; Pipiras, Vladas: Long range dependence, unbalanced Haar wavelet transformation and changes in local mean level (2009)
  12. Fryzlewicz, Piotr: Unbalanced Haar technique for nonparametric function estimation (2007)