Structured Latent Factor Analysis for Large-scale Data: Identifiability, Estimability, and Their Implications

• 成果类型: Article
• 署名作者: Chen, Yunxiao; Li, Xiaoou; Zhang, Siliang
• 署名单位: University of London; London School Economics & Political Science; University of Minnesota System; University of Minnesota Twin Cities; Fudan University
• 刊物名称: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
• ISSN/ISSBN: 0162-1459
• DOI: 10.1080/01621459.2019.1635485
• 发表日期: 2020
• 页码: 1756-1770
• 关键词: models