Browse Dept. of Statistics by Subject "Clustering"

  • Kim, Ji Young (2010-08-31)
    Data do not always obey the normality assumption, and outliers can have dramatic impacts on the quality of the least squares methods. We use Huber's loss function in developing robust methods for time-course multivariate ...

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  • Liu, Yufei (2013-08-22)
    This dissertation is centered on the modeling of heterogeneous data which is ubiquitous in this digital information age. From the statistical point of view heterogeneous data is composed of dissimilar components, where ...

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