See this document in CiteSeerX!

Multivariate Nonparametric Regression Using Lifting (2004)  (Make Corrections)  
Maarten Jansen, Guy P. Nason, Bernard W. Silverman



  Home/Search   Context   Related

 
View or download:
stats.ox.ac.uk/~si...nasonsilverman.pdf
Cached:  PDF   PS.gz  PS  Image  Update  Help

From:  stats.ox.ac.uk/~silverma...papers (more)
(Enter author homepages)

Rate this article: (best)
  Comment on this article  
(Enter summary)

Abstract: This article develops three methods for the multiscale analysis of irregularly spaced data based on the recently developed lifting paradigm by "lifting one coefficient at a time". The concept of scale still exists within these transforms but as a continuous quantity rather than dyadic levels. We develop empirical Bayes methods that take account of the continuous nature of the scale. We apply our new methods to the problems of estimation of krill density and rail arrival delays. We demonstrate... (Update)

Active bibliography (related documents):   More   All
1.5:   Second Generation Wavelet Methods For Denoising Of.. - Delouille, al. (2003)   (Correct)
0.8:   Regression in Random Design and Warped Wavelets. - Erard Kerkyacharian Dominique   (Correct)
0.7:   Choice of Wavelet Smoothness, Primary Resolution and Threshold in.. - Nason (2001)   (Correct)

Similar documents based on text:
4.0:   Unknown -   (Correct)

BibTeX entry:   (Update)

@misc{ jansen-multivariate,
  author = "Maarten Jansen and Guy P. Nason and Bernard W. Silverman",
  title = "Multivariate Nonparametric Regression Using Lifting",
  url = "citeseer.ist.psu.edu/jansen04multivariate.html" }
Citations (may not include all citations):
1064   A theory for multiresolution signal decomposition: the wavel.. (context) - Mallat - 1989
202   Ideal spatial adaptation by wavelet shrinkage - Donoho, Johnstone - 1994
186   Factoring wavelet transforms into lifting steps - Daubechies, Sweldens - 1998
127   Wavelet threshold estimators for data with correlated noise - Johnstone, Silverman - 1997
95   Wavelet thresholding via a Bayesian approach - Abramovich, Sapatinas et al. - 1998
60   Multiple shrinkage and subset selection in wavelets - Clyde, Parmigiani et al. - 1998
41   Statistical modeling by wavelets (context) - Vidakovic - 1999
29   Wavelet methods for time series analysis (context) - Percival, Walden - 2000
27   The Curvelet Transform for Image Denoising - Starck, Cand et al. - 2000
26   Wavelets on irregular point sets - Daubechies, Guskov et al. - 1999
24   Extending the scope of wavelet regression methods by coeffic.. - Kovac, Silverman - 2000
18   A brief description of natural neighbour interpolation (context) - Sibson - 1981
17   Wavelet analysis and its statistical applications - Abramovich, Bailey et al. - 2000
15   Wavelet families of increasing order in arbitrary dimensions (context) - cevi, Sweldens - 2000
12   Random design wavelet curve smoothing (context) - Antoniadis, Gr et al. - 1997
12   Kernels and regularization on graphs - Smola, Kondor - 2003
10   Wavelet thresholding: beyond the Gaussian (context) - Neumann, von Sachs - 1995
10   Nonlinear wavelet transforms for image coding via lifting - Claypoole, Davis et al. - 2003
8   Interpolation methods for nonlinear wavelet regression with .. (context) - Hall, Turlach - 1925
6   The red-black wavelet transform - Uytterhoeven, Bultheel - 1997
5   Regularization and semi-supervised learning on large graphs (context) - Belkin, Matveeva et al. - 2004
5   Wavelet shrinkage for unequally spaced data - Sardy, Percival et al. - 1999
5   Empirical Bayes selection of wavelet thresholds - Johnstone, Silverman - 2005
5   Multivariate Analysis (context) - Krzanowski, Marriott - 1995
5   Smooth design-adapted wavelets for nonparametric stochastic .. (context) - Delouille, Simoens et al. - 2001
4   On non-equally spaced wavelet regression - Pensky, Vidakovic - 2001
4   Wavelet thresholding for non-necessarily Gaussian noise: ide.. - Averkamp, Houdr - 2003
3   Wavelets: the key to intermittent information (context) - Silverman, Vassilicos - 2000
3   Regularization of wavelet approximations - Antoniadis, Fan - 2001
3   Wavelets and the lifting scheme: A 5 minute tour (context) - Sweldens - 1996
3   Wavelet methods for curve and surface estimation (context) - Herrick - 2000
2   Scattered data smoothing by empirical Bayesian shrinkage of .. - Jansen, Nason et al. - 2001
2   Smooth design-adapted wavelets for half-regular designs in t.. (context) - Delouille, von Sachs - 2002
2   A Haar-Fisz algorithm for Poisson intensity estimation (context) - Fryzlewicz, Nason - 2004
2   Weak laws of large numbers in geometric probability (context) - Penrose, Yukich - 2003
1   Nonparametric stochastic regression using design-adapted wav.. (context) - Delouille - 2002
1   Stabilised wavelet transform for non-equispaced data smoothi.. (context) - Vanraes, Jansen et al. - 1990
1   PLUS programs for Empirical Bayes thresholding (context) - Johnstone, Silverman et al. - 2004
1   Nonlinear orthogonal series estimation for random design reg.. (context) - Kohler - 2003
1   Needles and hay in haystacks: Empirical Bayes estimates of p.. (context) - Johnstone, Silverman - 2004
1   Rail mileages in Britain (context) - Butler - 1999
1   Choice of wavelet smoothness (context) - Nason - 2002
1   An acoustic survey of Antarctic krill on the South Georgia s.. (context) - Goss, Everson - 1996
1   Simulations and examples for multivariate nonparametric regr.. (context) - Nason, Jansen et al. - 2004
1   Wavelet deconvolution in a periodic setting - Johnstone, Kerkyacharian et al. - 2004
1   Multiscale Poisson data smoothing (context) - Jansen - 2003
1   Second generation wavelet methods for denoising of irregular.. - Delouille, Jansen et al. - 2003
1   Adaptive lifting for nonparametric regression (context) - Nunes, Popa et al. - 1992
1   The random minimal spanning tree in high dimensions (context) - Penrose - 1925

Documents on the same site (http://www.stats.ox.ac.uk/~silverma/papers.html):   More
Empirical Bayes Selection Of Wavelet Thresholds - Johnstone, Silverman (2005)   (Correct)
Wavelet Threshold Estimators for Data with Correlated Noise - Johnstone, Silverman (1997)   (Correct)
Perfect Simulation Of Spatial Point Processes Using.. - Ambler, Silverman (2004)   (Correct)

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC