Variable selection via SCAD-penalized quantile regression for high-dimensional count data

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...

Bibliografski detalji
Glavni autori:	Muhammad Khan, Dost, Yaqoob, Anum, Iqbal, Nadeem, Abdul Wahid, Khalil, Umair, Khan, Mukhtaj, Abd Rahman, Mohd Amiruddin, Mustafa, Mohd Shafie, Khan, Zardad
Format:	Članak
Jezik:	English
Izdano:	Institute of Electrical and Electronics Engineers 2019
Online pristup:	http://psasir.upm.edu.my/id/eprint/82711/1/Variable%20selection%20.pdf

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