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Computational Statistics & Data Analysis
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Computational Statistics & Data Analysis
Article . 2016 . Peer-reviewed
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Article . 2020
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Semiparametric mixture: Continuous scale mixture approach

Semiparametric mixture: continuous scale mixture approach
Authors: Xiang, Sijia; Yao, Weixin; Seo, Byungtae;

Semiparametric mixture: Continuous scale mixture approach

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Country
United States
Keywords

Semiparametric mixture models, Statistics & Probability, Statistics, Computation Theory and Mathematics, continuous normal scale mixture, Continuous normal scale mixture, Semiparametric EM algorithm, semiparametric EM algorithm, Econometrics, mixture models, Mixture models, Computational methods for problems pertaining to statistics, semiparametric mixture models

  • BIP!
    Impact byBIP!
    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).
    8
    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).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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!
8
Top 10%
Average
Average
Green
hybrid