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    CSDA
    2007
    100views more  CSDA 2007»
    Convergence of random k-nearest-neighbour imputation
    13 years 8 months ago
    Convergence of random k-nearest-neighbour imputation
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    Random k-nearest-neighbour (RKNN) imputation is an established algorithm for filling in missing values in data sets. Assume that data are missing in a random way, so that missing...
    Fredrik A. Dahl
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    CSDA
    2007
    137views more  CSDA 2007»
    Fitting finite mixtures of generalized linear regressions in R
    13 years 8 months ago
    Fitting finite mixtures of generalized linear regressions in R
    Download  www.ci.tuwien.ac.at
    R package flexmix provides flexible modelling of finite mixtures of regression models using the EM algorithm. Several new features of the software such as fixed and nested var...
    Bettina Grün, Friedrich Leisch
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    CSDA
    2007
    202views more  CSDA 2007»
    Bayesian estimation of the Gaussian mixture GARCH model
    13 years 8 months ago
    Bayesian estimation of the Gaussian mixture GARCH model
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    In this paper, we perform Bayesian inference and prediction for a GARCH model where the innovations are assumed to follow a mixture of two Gaussian distributions. This GARCH model...
    María Concepción Ausín, Pedro...
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    CSDA
    2007
    117views more  CSDA 2007»
    Smoothing splines estimators in functional linear regression with errors-in-variables
    13 years 8 months ago
    Smoothing splines estimators in functional linear regression with errors-in-variables
    Download  math.u-bourgogne.fr
    The Total Least Squares method is generalized in the context of the functional linear model. A smoothing splines estimator of the functional coefficient of the model is first prop...
    Hervé Cardot, Christophe Crambes, Alois Kne...
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    CSDA
    2007
    92views more  CSDA 2007»
    The Bayes factor for inequality and about equality constrained models
    13 years 8 months ago
    The Bayes factor for inequality and about equality constrained models
    Download  stat.wharton.upenn.edu
    The Bayes factor is a useful tool for evaluating sets of inequality and about equality constrained models. In the approach described, the Bayes factor for a constrained model with...
    Irene Klugkist, Herbert Hoijtink
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