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    SAC
    2011
    ACM
    145views Applied Computing» more  SAC 2011»
    Restricted likelihood inference for generalized linear mixed models
    12 years 11 months ago
    Restricted likelihood inference for generalized linear mixed models
    Download  www.stat.unipg.it
    Ruggero Bellio, Alessandra R. Brazzale
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    SAC
    2012
    ACM
    260views Applied Computing» more  SAC 2012»
    On a hybrid data cloning method and its application in generalized linear mixed models
    12 years 1 days ago
    On a hybrid data cloning method and its application in generalized linear mixed models
    Download  www.math.ntnu.no
    Data cloning method is a new computational tool for computing maximum likelihood estimates in complex statistical models such as mixed models. This method is synthesized with inte...
    Hossein Baghishani, Håvard Rue, Mohsen Moham...
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    ICA
    2004
    Springer
    84views Signal Processing» more  ICA 2004»
    Blind Maximum Likelihood Separation of a Linear-Quadratic Mixture
    13 years 9 months ago
    Blind Maximum Likelihood Separation of a Linear-Quadratic Mixture
    Download  www.ast.obs-mip.fr
    Abstract. We proposed recently a new method for separating linearquadratic mixtures of independent real sources, based on parametric identification of a recurrent separating struc...
    Shahram Hosseini, Yannick Deville
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    KDD
    2008
    ACM
    183views Data Mining» more  KDD 2008»
    A bayesian mixture model with linear regression mixing proportions
    14 years 4 months ago
    A bayesian mixture model with linear regression mixing proportions
    Download  www.cise.ufl.edu
    Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...
    Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gu...
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    IJAR
    2008
    161views more  IJAR 2008»
    Bayesian learning for a class of priors with prescribed marginals
    13 years 4 months ago
    Bayesian learning for a class of priors with prescribed marginals
    Download  www.stat.uni-muenchen.de
    We present Bayesian updating of an imprecise probability measure, represented by a class of precise multidimensional probability measures. Choice and analysis of our class are mot...
    Hermann Held, Thomas Augustin, Elmar Kriegler
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