Distributed Feature Selection in Large n and Large p Regression Problems
<p>Fitting statistical models is computationally challenging when the sample size or the dimension of the dataset is huge. An attractive approach for down-scaling the problem size is to first partition the dataset into subsets and then fit using distributed algorithms. The dataset can be parti...
| Main Author: | |
|---|---|
| Other Authors: | |
| Published: |
2016
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10161/12912 |