文献
J-GLOBAL ID:201802232461407180
整理番号:18A1389788
縮小ランクモデリングによる混合および不完全結果の利用【JST・京大機械翻訳】
Leveraging mixed and incomplete outcomes via reduced-rank modeling
著者 (7件):
Luo Chongliang
(Department of Statistics, University of Connecticut, Storrs, CT, United States)
,
Liang Jian
(Department of Automation, Tsinghua University, Beijing, China)
,
Li Gen
(Department of Biostatistics, Columbia University, New York, United States)
,
Wang Fei
(Department of Healthcare Policy and Research, Weill Cornell Medical School, Cornell University, New York, United States)
,
Zhang Changshui
(Department of Healthcare Policy and Research, Weill Cornell Medical School, Cornell University, New York, United States)
,
Dey Dipak K.
(Department of Statistics, University of Connecticut, Storrs, CT, United States)
,
Chen Kun
(Department of Statistics, University of Connecticut, Storrs, CT, United States)
資料名:
Journal of Multivariate Analysis
(Journal of Multivariate Analysis)
巻:
167
ページ:
378-394
発行年:
2018年
JST資料番号:
D0675A
ISSN:
0047-259X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)