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Trend filtering via empirical mode decompositions

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Feb 2013 France English Publisher:Elsevier BVJournal:Computational Statistics & Data Analysis, volume 58, pages 114-126 (issn: 0167-9473, Copyright policy )
Authors: Moghtaderi, Azadeh; Flandrin, Patrick; Borgnat, Pierre;

doi: 10.1016/j.csda.2011.05.015

Trend filtering via empirical mode decompositions

Abstract

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Keywords

[STAT.ME] Statistics [stat]/Methodology [stat.ME], [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, seasonality, monthly mean carbon dioxide cycle, Trend filtering, Seasonality, adaptive data analysis, Inference from stochastic processes and prediction, Adaptive data analysis, Monthly mean carbon dioxide cycle, empirical mode decomposition, Empirical mode decomposition, Applications of statistics to environmental and related topics, trend filtering, Applications of statistics to economics, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 79
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
79
Top 10%
Top 10%
Top 1%
Green
bronze