Atan regularized for the high dimensional Poisson regression model

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Yousif Ali Hameed; Gatea Ahlam Hanash

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF NONLINEAR ANALYSIS AND APPLICATIONS Year:2021 | Volume:12 | Issue:Special Issue Page(s): 2197-2202

Download Full-Text

View:

Download:

Cites:

Information Journal Paper

Title

Atan regularized for the high dimensional Poisson regression model

Author(s)

Yousif Ali Hameed | Gatea Ahlam Hanash | Issue Writer Certificate

Keywords

Poisson regression

Lasso

Adaptive Lasso

Atan

Abstract

Variable selection in Poisson regression with high dimensional data has been widely used in recent years. we proposed in this paper using a penalty function that depends on a function named a penalty. An Atan estimator was compared with Lasso and adaptive Lasso. A simulation and application show that an Atan estimator has the advantage in the estimation of coefficient and variables selection.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans