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    CSDA
    2007
    100views more  CSDA 2007»
    Convergence of random k-nearest-neighbour imputation
    13 years 9 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
    172views more  CSDA 2007»
    AMCMC: An R interface for adaptive MCMC
    13 years 9 months ago
    AMCMC: An R interface for adaptive MCMC
    Download  probability.ca
    We describe AMCMC, a software package for running adaptive MCMC algorithms on user-supplied density functions. AMCMC provides the user with an R interface, which in turn calls C pr...
    Jeffrey S. Rosenthal
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    CSDA
    2007
    137views more  CSDA 2007»
    Fitting finite mixtures of generalized linear regressions in R
    13 years 9 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
    117views more  CSDA 2007»
    Smoothing splines estimators in functional linear regression with errors-in-variables
    13 years 9 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»
    On the estimation of the linear relation when the error variances are known
    13 years 9 months ago
    On the estimation of the linear relation when the error variances are known
    Download  home.iitk.ac.in
    The problem of consistent estimation in measurement error models in a linear relation with not necessarily normally distributed measurement errors is considered. Three possible es...
    H. Schneeweiss, H. Shalabh
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