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Computational Statistics & Data Analysis
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Computational Statistics & Data Analysis
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Mixtures of regressions with predictor-dependent mixing proportions

descriptionPublicationkeyboard_double_arrow_right Article 01 Oct 2010 English Publisher:Elsevier BVJournal:Computational Statistics & Data Analysis, volume 54, pages 2,253-2,266 (issn: 0167-9473, Copyright policy )
Authors: Derek S. Young; D. R. Hunter;

doi: 10.1016/j.csda.2010.04.002

Mixtures of regressions with predictor-dependent mixing proportions

Abstract

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Keywords

Generalized linear models (logistic models), mixtures of regressions, EM algorithms, mixture models, hierarchical mixture of experts

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    selected citations
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    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).
    		 51
    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 10%
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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!
51
Top 10%
Top 10%
Top 10%
bronze