BIVAS: a scalable Bayesian method for bi-level variable selection
In this thesis, we consider a Bayesian bi-level variable selection problem in high-dimensional regressions. In many practical situations, it is natural to assign group membership to each predictor. Examples include that genetic variants can be grouped at the gene level and a covariate from different...
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| Format: | Others |
| Language: | English |
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HKBU Institutional Repository
2018
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| Online Access: | https://repository.hkbu.edu.hk/etd_oa/482 https://repository.hkbu.edu.hk/cgi/viewcontent.cgi?article=1482&context=etd_oa |