Dimension reduction in binary response regression: A joint modeling approach

标题
Dimension reduction in binary response regression: A joint modeling approach
作者
关键词
Binary classification, Joint reduction, Latent variable modeling, Model-based inverse regression, Sufficient dimension reduction
出版物
COMPUTATIONAL STATISTICS & DATA ANALYSIS
Volume 156, Issue -, Pages 107131
出版商
Elsevier BV
发表日期
2020-11-07
DOI
10.1016/j.csda.2020.107131

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search