Identification of partially linear structure in additive models with an application to gene expression prediction from sequences

The additive model is a semiparametric class of models that has become extremely popular because it is more flexible than the linear model and can be fitted to high-dimensional data when fully nonparametric models become infeasible. We consider the problem of simultaneous variable selection and para...

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Bibliographic Details
Main Authors: Lian, Heng, Chen, Xin, Yang, Jian-Yi
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2013
Online Access:https://hdl.handle.net/10356/98824
http://hdl.handle.net/10220/12794
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Institution: Nanyang Technological University
Language: English

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