On Non-Equally Spaced Wavelet Regression

48 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Wavelet regression and additive models for irregularly spaced data (2019, unknown): “Other solutions include transformations [Cai and Brown, 1998, Pensky and Vidakovic, 2001] or interpolation [Hall and Turlach, 1997, Kovac and Silverman, 2000, Antoniadis and Fan, 2001] of the data to a regular grid of size 2 J .”
Functional clustering by Bayesian wavelet methods (2006, background): “There has been some work for wavelet methods on unequispaced grids (Kovac and Silverman, 2000; Pensky and Vidakovic, 2001); however, we limit ourselves to the case where points are missing from a fixed equispaced grid.”
Multiscale methods for data on graphs and irregular multidimensional situations (2009, background): “…binning or interpolation to a regular grid, have been proposed, e.g., in one dimension, Antoniadis et al. (1997), Hall and Turlach (1997), Cai and Brown (1999), Sardy et al. (1999), Kovac and Silverman (2000), Antoniadis and Fan (2001), Pensky and Vidakovic (2001), Nason (2002) and Kohler (2003).”
Smooth Design-Adapted Wavelets for Nonparametric Stochastic Regression (2004, background): “…and Fan 2001; Antoniadis, Grégoire, and McKeague 1994; Antoniadis, Grégoire, and Vial 1997; Delyon and Juditsky 1997; Kovac and Silverman 2000; Pensky and Vidakovic 2001; Sardy, Percival, V. Delouille is Research Associate, Department of Electrical and Computer Engineering, Rice University,…”