Browsing Statistics by Subject "Robust regression"

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Browsing Statistics by Subject "Robust regression"

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  • Yao, Weixin (2013-01-22)
    Expectation-maximization (EM) algorithm has been used to maximize the likelihood function or posterior when the model contains unobserved latent variables. One main important application of EM algorithm is to find the ...
  • Bai, Xiuqin; Yao, Weixin; Boyer, John E. (2012-06-18)
    The existing methods for tting mixture regression models assume a normal dis- tribution for error and then estimate the regression parameters by the maximum likelihood estimate (MLE). In this article, we demonstrate ...
  • Yao, Weixin; Wei, Yan; Yu, Chun (2014-03-10)
    The traditional estimation of mixture regression models is based on the normal assumption of component errors and thus is sensitive to outliers or heavy-tailed errors. A robust mixture regression model based on the ...

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