Unbalanced Haar Technique for Nonparametric Function Estimation
By Piotr Fryzlewicz. 2007
78 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/3c542358531209e53fbe0174cd6047f73c7e7f0f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Holger Dette
- Nicolas Vayatis
- Laurent Oudre
- Charles Truong
- R. Puchstein
- Philip Preuss
- Piotr Fryzlewicz
- Haeran Cho
In Computer Vision and Pattern Recognition
In Statistics and Probability
- Holger Dette
- Nicolas Vayatis
- Laurent Oudre
- Charles Truong
- Philip Preuss
- R. Puchstein
- Piotr Fryzlewicz
- Haeran Cho
Citations in the corpus
- A review of change point detection methods (2018, methodology): “uential segmentation method that approximates the 14 Step 0 step 6 step 8 step 1 step 4 step 2 step 3 step 5 step 7 Steps 1;2;::: Result Figure 4: Schematic view of BotUp exact change point detection [34,51,77]. Contrary to BinSeg, BotUp starts by splitting the original signal in many small sub-sign”
- Wild binary segmentation for multiple change-point detection (2014, methodology): “We also note that BS has an interpretation in terms of ‘unbalanced Haar’ wavelets; see Fryzlewicz (2007).”
- Detection of Multiple Structural Breaks in Multivariate Time Series (2013, background): “Since this pioneering work, numerous authors have considered this problem (see James, James, and Siegmund 1987; Banerjee, Lumsdaine, and Stock 1992; Bai 1994 or Fryzlewicz 2007 among many others).”