Choosing the number of factors in factor analysis with incomplete data via a novel hierarchical Bayesian information criterion

doi:10.1007/s11634-024-00582-w

科研成果详情

发表状态	已发表Published
题名	Choosing the number of factors in factor analysis with incomplete data via a novel hierarchical Bayesian information criterion
作者	Zhao, Jianhua 1; Shang, Changchun 1,2; Li, Shulan 3; Xin, Ling4 ; Yu, Philip L.H.5
发表日期	2025-03-01
发表期刊	Advances in Data Analysis and Classification
ISSN/eISSN	1862-5347
卷号	19 期号:1 页码:209-235
摘要	The Bayesian information criterion (BIC), defined as the observed data log likelihood minus a penalty term based on the sample size N, is a popular model selection criterion for factor analysis with complete data. This definition has also been suggested for incomplete data. However, the penalty term based on the ‘complete’ sample size N is the same no matter whether in a complete or incomplete data case. For incomplete data, there are often only N
关键词	BIC Factor analysis Incomplete data Maximum likelihood Model selection Variational Bayesian
DOI	10.1007/s11634-024-00582-w
URL	查看来源
收录类别	SCIE
语种	英语English
WOS研究方向	Mathematics
WOS类目	Statistics & Probability
WOS记录号	WOS:001176554300001
Scopus入藏号	2-s2.0-105001585927
引用统计
文献类型	期刊论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/12824
专题	工商管理学院
通讯作者	Zhao, Jianhua
作者单位	1.School of Statistics and Mathematics,Yunnan University of Finance and Economics,Kunming,355 Longquan road,650221,China 2.School of Mathematics and Statistics,Guilin University of Technology,Guilin,541004,China 3.School of Accounting,Yunnan University of Finance and Economics,Kunming,650221,China 4.Division of Business and Management,BNU-HKBU United International College,Zhuhai,519087,China 5.Department of Mathematics and Information Technology,The Education University of Hong Kong,Hong Kong
推荐引用方式 GB/T 7714	Zhao, Jianhua,Shang, Changchun,Li, Shulanet al. Choosing the number of factors in factor analysis with incomplete data via a novel hierarchical Bayesian information criterion[J]. Advances in Data Analysis and Classification, 2025, 19(1): 209-235.
APA	Zhao, Jianhua, Shang, Changchun, Li, Shulan, Xin, Ling, & Yu, Philip L.H. (2025). Choosing the number of factors in factor analysis with incomplete data via a novel hierarchical Bayesian information criterion. Advances in Data Analysis and Classification, 19(1), 209-235.
MLA	Zhao, Jianhua,et al."Choosing the number of factors in factor analysis with incomplete data via a novel hierarchical Bayesian information criterion". Advances in Data Analysis and Classification 19.1(2025): 209-235.