Search Results - "generalized expectation-maximization algorithm"

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    Multiple testing for neuroimaging via hidden Markov random field by Shu, Hai, Nan, Bin, Koeppe, Robert

    ISSN: 0006-341X, 1541-0420
    Published: England Blackwell Publishing Ltd 01.09.2015
    Published in Biometrics (01.09.2015)
    “… A generalized expectation–maximization algorithm for maximizing the penalized likelihood is proposed for estimating the model parameters…”
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  2. 2
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    Estimating properties of the fast and slow adaptive processes during sensorimotor adaptation by Albert, Scott T, Shadmehr, Reza

    ISSN: 1522-1598, 1522-1598
    Published: United States 01.04.2018
    Published in Journal of neurophysiology (01.04.2018)
    “…Experience of a prediction error recruits multiple motor learning processes, some that learn strongly from error but have weak retention and some that learn…”
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  3. 3
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    Impact of prior specifications in a shrinkage-inducing Bayesian model for quantitative trait mapping and genomic prediction by Knürr, Timo, Läärä, Esa, Sillanpää, Mikko J

    ISSN: 1297-9686, 0999-193X, 1297-9686
    Published: London BioMed Central 08.07.2013
    Published in Genetics selection evolution (Paris) (08.07.2013)
    “… results is subject to misspecified assumptions because of weak biological prior evidence…”
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  4. 4
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    Impact of prior specifications in ashrinkage-inducing Bayesian model for quantitative trait mapping and genomic prediction by Knuerr, Timo, Laeaerae, Esa, Sillanpaeae, Mikko J

    ISSN: 0999-193X, 1297-9686, 1297-9686
    Published: London Springer Nature B.V 2013
    “… results is subject to misspecified assumptions because of weak biological prior evidence…”
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  5. 5
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    Predictors with measurement error in mixtures of polynomial regressions by Fang, Xiaoqiong, Chen, Andy W., Young, Derek S.

    ISSN: 0943-4062, 1613-9658
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2023
    Published in Computational statistics (01.03.2023)
    “…There has been a substantial body of research on mixtures-of-regressions models that has developed over the past 20 years. While much of the recent literature…”
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  6. 6
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    Simultaneous Gaussian model-based clustering for samples of multiple origins by Lourme, A., Biernacki, C.

    ISSN: 0943-4062, 1613-9658
    Published: Berlin/Heidelberg Springer-Verlag 01.02.2013
    Published in Computational statistics (01.02.2013)
    “…-called simultaneous clustering method. Maximum likelihood mixture parameters, subject to the linear link constraint, can be easily…”
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  7. 7
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    Multiple Testing for Neuroimaging via Hidden Markov Random Field by Shu, Hai, Bin Nan, Koeppe, Robert

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 28.07.2016
    Published in arXiv.org (28.07.2016)
    “… A generalized expectation-maximization algorithm for maximizing the penalized likelihood is proposed for estimating the model parameters…”
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  8. 8
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    Local and global models for articulated motion analysis by Wagg, D.K

    Published: ProQuest Dissertations & Theses 01.01.2006
    “…Vision is likely the most important of the senses employed by humans in understanding their environment, but computer systems are still sorely lacking in this…”
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