Variable selection via SCAD-penalized quantile regression for high-dimensional count data
This article introduces a quantile penalized regression technique for variable selection and estimation of conditional quantiles of counts in sparse high-dimensional models. The direct estimation and variable selection of the quantile regression is not feasible due to the discreteness of the count d...
| मुख्य लेखकों: | , , , , , , , , |
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| स्वरूप: | लेख |
| भाषा: | English |
| प्रकाशित: |
Institute of Electrical and Electronics Engineers
2019
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| ऑनलाइन पहुंच: | http://psasir.upm.edu.my/id/eprint/82711/1/Variable%20selection%20.pdf |