Structure Learning of \mbox{PM}_{2.5} Distribution Using Sparse Graphical Models

ZHANG Hai; GUO Xiao; REN Sa; DENG Yajing

PDF(2992 KB)
PDF(2992 KB)
CHINESE JOURNAL OF APPLIED PROBABILITY AND STATISTICS ›› 2019, Vol. 35 ›› Issue (5) : 495-507. DOI: 10.3969/j.issn.1001-4268.2019.05.005

Structure Learning of \mbox{PM}_{2.5} Distribution Using Sparse Graphical Models

    {{javascript:window.custom_author_en_index=0;}}
  • {{article.zuoZhe_EN}}
Author information +
History +

HeighLight

{{article.keyPoints_en}}

Abstract

{{article.zhaiyao_en}}

Key words

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations
{{article.zuoZheEn_L}}. {{article.title_en}}. {{journal.qiKanMingCheng_EN}}. 2019, 35(5): 495-507 https://doi.org/10.3969/j.issn.1001-4268.2019.05.005

References

Publishing order | Descend order by publishing year | Descend order by cited within

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}
{{article.copyrightLicense_en}}
PDF(2992 KB)

Accesses

Citation

Detail
Sections
Recommended
Copyright © CHINESE JOURNAL OF APPLIED PROBABILITY AND STATISTICS
Tel: 021-54345267　Fax: 021-54345058　E-mail: aps@stat.ecnu.edu.cn
Powered by Beijing Magtech Co. Ltd.

/

〈 〉