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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Main Authors: | Lian, Heng, Chen, Xin, Yang, Jian-Yi |
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Other Authors: | School of Physical and Mathematical Sciences |
Format: | Article |
Language: | English |
Published: |
2013
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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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