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Showing 1 to 2 of 2 for “"Sparsistency"”.

  1. A penalized estimation procedure for varying coefficient models

    Tu, Yan, author, Wang, Haonan, advisor, Breidt, F. Jay, committee member, Chapman, Phillip, committee member, Luo, J. Rockey, committee memberColorado State University. Libraries2015

    … properties of estimation consistency and sparsistency of the proposed method are established. The term of sparsistency refers to the property that the functional sparsity can be consistently detected.

    colostate Repository record

  2. Some Advanced Model Selection Topics for Nonparametric/Semiparametric Models with High-Dimensional Data

    Fang, ZailiVirginia Tech2012

    Model and variable selection have attracted considerable attention in areas of application where datasets usually contain thousands of variables. Variable selection is a critical step to reduce the dimension of high dimensional data by eliminating irrelevant variables. The general objective of …

    vt Repository record