Wavelet-Based Clustering for Mixed-Effects Functional Models in High Dimension-Reference-Cited by-同舟云学术

Wavelet-Based Clustering for Mixed-Effects Functional Models in High Dimension

Published:2013-02-04 Issue:1 Volume:69 Page:31-40
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:BIOM

Author:

Giacofci M.¹,Lambert-Lacroix S.²,Marot G.³⁴⁵,Picard F.⁴

Affiliation:

1. Laboratoire LJK, BP 53; Université de Grenoble et CNRS; 38041 Grenoble cedex 9 France

2. UJF-Grenoble 1/CNRS/UPMF/TIMC-IMAG UMR 5525; Grenoble F-38041 France

3. Projet BAMBOO; INRIA Rhône-Alpes; F-38330 Montbonnot Saint-Martin France

4. Biostatistics, EA 2694; UDSL, Université Lille Nord de France

5. MODAL; INRIA Lille Nord Europe; F-59650 Villeneuve d'Ascq France

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1541-0420.2012.01828.x/fullpdf

Reference26 articles.

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2. Wavelet shrinkage approaches to baseline signal estimation from repeated noisy measurements;Amato;Advances and Applications in Statistics,2005

3. Non parametric pre-processing methods and inference tools for analyzing time-of-flight mass spectrometry data;Antoniadis;Current Analytical Chemistry,2007

4. A multiscale approach for statistical characterization of functional images;Antoniadis;Journal of Computational and Graphical Statistics,2008

5. Estimation and inference in functional mixed-effects models;Antoniadis;Computational Statistics & Data Analysis,2007

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